Table:
Year
Team
Games
Carries
Yards
Yards per Carry
Longest Carry
Touchdowns
First Downs
Fumbles
Fumbles Lost

2004
JAX
16
62
162
2.6
12
3
14
1
0

2005
JAX
14
151
575
3.8
27
4
32
0
0

2007
JAX
16
42
119
2.8
11
2
7
0
0

2008
JAX
12
2
13
6.5
13
0
1
0
0

2009
JAX
13
4
23
5.8
11
0
1
0
0

2010
JAX
16
2
4
2.0
3
0
0
0
0

2011
JAX
16
2
7
3.5
6
1
1
0
0

2012
JAX
12
5
8
1.6
4
0
3
0
0

2013
HOU
16
2
2
1.0
4
0
0
0
0

Career

131
272
913
3.4
27
10
59
1
0

Given a table image, your task is to extract the cells' values in the following rows or columns:
row 3
column 11
column 9
column 1
row 8

Task requirements: Show the cells in each row or column in the JSON format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}. For example, {"row_id":"3", "cell_list": ["A", "B", "C"]}.

The cell values of target rows or columns are as follows:
For row 3: {"row_id": "3", "cell_list": ['2005', 'JAX', '14', '151', '575', '3.8', '27', '4', '32', '0', '0']}
For column 11: {"column_id": "11", "cell_list": ['Fumbles Lost', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0']}
For column 9: {"column_id": "9", "cell_list": ['First Downs', '14', '32', '7', '1', '1', '0', '1', '3', '0', '59']}
For column 1: {"column_id": "1", "cell_list": ['Year', '2004', '2005', '2007', '2008', '2009', '2010', '2011', '2012', '2013', 'Career']}
For row 8: {"row_id": "8", "cell_list": ['2011', 'JAX', '16', '2', '7', '3.5', '6', '1', '1', '0', '0']}