Table:
Season

Rushing

Receiving

Passing

Att
Yards
Avg
Yds/G
TD
Rec
Yards
TD
Cmp
Att
TD

2008

146
707
4.8
54.4
12
13
111
1
2
3
2

2009

74
330
4.5
82.5
4
9
88
0
0
0
0

2010

155
695
4.5
53.5
8
32
195
1
0
0
0

NCAA career totals

379
1,748
4.6
56.4
24
54
394
2
2
3
2

Analyze the provided table and extract the contents of specified rows or columns, identified by row or column indices. Represent the cells in a row or a column with the JSON format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}. For instance, {"row_id":"5", "cell_list": ["13", "england", "2023-1201"]}.
Target rows or columns:
the 2nd row
the 11th column
the 5th row
the 5th column
the 6th column

The extracted row or column contents are listed below.
For the 2nd row: {"row_id": "2", "cell_list": ['', 'att', 'yards', 'avg', 'yds/g', 'td', 'rec', 'yards', 'td', 'cmp', 'att', 'td']}
For the 11th column: {"column_id": "11", "cell_list": ['', 'att', '3', '0', '0', '3']}
For the 5th row: {"row_id": "5", "cell_list": ['2010', '155', '695', '4.5', '53.5', '8', '32', '195', '1', '0', '0', '0']}
For the 5th column: {"column_id": "5", "cell_list": ['', 'yds/g', '54.4', '82.5', '53.5', '56.4']}
For the 6th column: {"column_id": "6", "cell_list": ['', 'td', '12', '4', '8', '24']}