Table:
Represents
Contestant
Age
Height
Hometown

Bocas del Toro
TBD
TBD
0.0 m (0 in)
TBD

Chiriquí
TBD
TBD
0.0 m (0 in)
TBD

Chiriquí Occidente
TBD
TBD
0.0 m (0 in)
TBD

Coclé
TBD
TBD
0.0 m (0 in)
TBD

Colón
TBD
TBD
0.0 m (0 in)
TBD

Darién
TBD
TBD
0.0 m (0 in)
TBD

Comarcas
TBD
TBD
0.0 m (0 in)
TBD

Herrera
TBD
TBD
0.0 m (0 in)
TBD

Los Santos
TBD
TBD
0.0 m (0 in)
TBD

Panamá Centro
TBD
TBD
0.0 m (0 in)
TBD

Panamá Este
TBD
TBD
0.0 m (0 in)
TBD

Panamá Oeste
TBD
TBD
0.0 m (0 in)
TBD

Veraguas
TBD
TBD
0.0 m (0 in)
TBD

Examine the given table and extract the contents of in the specific rows or columns, denoted by row or column indices. Provide the cells in each row or column in the JSON structure, using the format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}.
Specified rows or columns:
the 6th row
the 4th column
the 3rd column
the 14th row

The cell values of target rows or columns are as follows:
For the 6th row: {"row_id": "6", "cell_list": ['Colón', 'TBD', 'TBD', '0.0\xa0m (0\xa0in)', 'TBD']}
For the 4th column: {"column_id": "4", "cell_list": ['Height', '0.0\xa0m (0\xa0in)', '0.0\xa0m (0\xa0in)', '0.0\xa0m (0\xa0in)', '0.0\xa0m (0\xa0in)', '0.0\xa0m (0\xa0in)', '0.0\xa0m (0\xa0in)', '0.0\xa0m (0\xa0in)', '0.0\xa0m (0\xa0in)', '0.0\xa0m (0\xa0in)', '0.0\xa0m (0\xa0in)', '0.0\xa0m (0\xa0in)', '0.0\xa0m (0\xa0in)', '0.0\xa0m (0\xa0in)']}
For the 3rd column: {"column_id": "3", "cell_list": ['Age', 'TBD', 'TBD', 'TBD', 'TBD', 'TBD', 'TBD', 'TBD', 'TBD', 'TBD', 'TBD', 'TBD', 'TBD', 'TBD']}
For the 14th row: {"row_id": "14", "cell_list": ['Veraguas', 'TBD', 'TBD', '0.0\xa0m (0\xa0in)', 'TBD']}