def concepts_to_list(doc_id, analyzed, single_document=False):
    """Converts concepts response to flat lists with doc_id included

    :param doc_id: Will be inserted to each row as first element
    :param analyzed: Response json from anacode api for concepts call
    :type analyzed: list
    :param single_document: Is analysis describing just one document
    :type single_document: bool
    :return: dict -- Dictionary with two keys: 'concepts' pointing to flat list
     of found concepts and their metadata and 'concepts_surface_strings'
     pointing to flat list of strings realizing found concepts
    """
    con_list, exp_list = [], []
    for order, text_analyzed in enumerate(analyzed):
        for concept in text_analyzed:
            row = [doc_id, 0, concept.get('concept'), concept.get('freq'),
                concept.get('relevance_score'), concept.get('type')]
            if single_document:
                row[1] += order
            else:
                row[0] += order
            con_list.append(row)
            for string in concept.get('surface', []):
                surface_str, span = string['surface_string'], string['span']
                exp_list.append([row[0], row[1], concept.get('concept'),
                    surface_str, '-'.join(map(str, span))])
    return {'concepts': con_list, 'concepts_surface_strings': exp_list}
