Table:
Season

Date

Location

Discipline

Place

2012
2 Dec 2011
Lake Louise, Canada
Downhill
2nd

28 Jan 2012
St. Moritz, Switzerland
Downhill
3rd

4 Feb 2012
Garmisch, Germany
Downhill
3rd

5 Feb 2012
Super-G
3rd

26 Feb 2012
Bansko, Bulgaria
Super-G
2nd

2013
30 Nov 2012
Lake Louise, Canada
Downhill
3rd

1 Mar 2013
Garmisch, Germany
Super-G
1st

2014
29 Nov 2013
Beaver Creek, USA
Downhill
2nd

1 Dec 2013
Giant slalom
3rd

7 Dec 2013
Lake Louise, Canada
Downhill
2nd

8 Dec 2013
Super-G
2nd

14 Dec 2013
St. Moritz, Switzerland
Super-G
1st

22 Dec 2013
Val-d'Isère, France
Giant slalom
1st

24 Jan 2014
Cortina d'Ampezzo, Italy
Downhill
2nd

25 Jan 2014
Downhill
3rd

26 Jan 2014
Super-G
2nd

Based on the provided table, please extract the cells' values in the following rows or columns. Output the cell values in each row or column as JSON in the format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}, e.g., {"column_id":"3", "cell_list": ["123.89", "News gathering", "selected tools"]}.
Target row or column indices:
the 5th row
the 2nd row
the 4th column
the 12th row
the 14th row
the 1st row

The cell values of target rows or columns are as follows:
For the 5th row: {"row_id": "5", "cell_list": ['2012', '5 Feb 2012', 'Garmisch, Germany', 'Super-G', '3rd']}
For the 2nd row: {"row_id": "2", "cell_list": ['2012', '2 Dec 2011', 'Lake Louise, Canada', 'Downhill', '2nd']}
For the 4th column: {"column_id": "4", "cell_list": ['Discipline', 'Downhill', 'Downhill', 'Downhill', 'Super-G', 'Super-G', 'Downhill', 'Super-G', 'Downhill', 'Giant slalom', 'Downhill', 'Super-G', 'Super-G', 'Giant slalom', 'Downhill', 'Downhill', 'Super-G']}
For the 12th row: {"row_id": "12", "cell_list": ['2014', '8 Dec 2013', 'Lake Louise, Canada', 'Super-G', '2nd']}
For the 14th row: {"row_id": "14", "cell_list": ['2014', '22 Dec 2013', "Val-d'Isère, France", 'Giant slalom', '1st']}
For the 1st row: {"row_id": "1", "cell_list": ['Season', 'Date', 'Location', 'Discipline', 'Place']}