How to convert list of nested dicts (json) into a custom dataframe using pandas?

I am combining survey results via an API and would like to convert these results into a dataframe that looks like this:

PersonId | Question | Answer | Department

To achieve this each row would have to be one question and answer pair for one person and including the department of the first question. So in this case it should look like this:

PersonId | Question                                  | Answer | Department
       1 | I can focus on clear targets              |      3 | Department A
       1 | I am satisfied with my working environment|      4 | Department A
       2 | I can focus on clear targets              |      1 | Department B
       2 | I am satisfied with my working environment|      3 | Department B

Here is how the data looks like after retrieving it from the api and combining it. I dont need the 'answers' and 'id' keys as the 'results' contains the answers given by the participant. The answers are always in a range from 1 to 5.

[
      {
        '0': {
          'title': 'What department do you work at?',
          'id': '2571050',
          'results': {
            '0': 'Department A',
            '1': '',
          },
          'answers': {
            '0': 'Department A',
            '1': 'Department B',
          }
        },
        '1': {
          'title': 'I can focus on clear targets',
          'id': '5275962',
          'results': {
            '0': '3'
          },
          'answers': {
            '0': 'Strongly disagree',
            '1': 'Strongly Agree'
          }
        },
        '2': {
          'title': 'I am satisfied with my working environment',
          'id': '5276045',
          'results': {
            '0': '4'
          },
          'answers': {
            '0': 'Strongly Disagree',
            '1': 'Strongly Agree'
          }
        },
      },
      {
        '0': {
          'title': 'What department do you work at?',
          'id': '2571050',
          'results': {
            '0': '',
            '1': 'Department B',
          },
          'answers': {
            '0': 'Department A',
            '1': 'Department B',
          }
        },
        '1': {
          'title': 'I can focus on clear targets',
          'id': '5275962',
          'results': {
            '0': '1'
          },
          'answers': {
            '0': 'Strongly disagree',
            '1': 'Strongly Agree'
          }
        },
        '2': {
          'title': 'I am satisfied with my working environment',
          'id': '5276048',
          'results': {
            '0': '3'
          },
          'answers': {
            '0': 'Strongly Disagree',
            '1': 'Strongly Agree'
          }
        }
      }
 ]

from How to convert list of nested dicts (json) into a custom dataframe using pandas?