Table:
Year
Team
Passing
Rushing

Cmp
Att
Pct
Yds
TD
Int
Rtg
Att
Yds
TD

2010
Dallas
31
46
67.4
442
10
1
128.80
2
-2
0

2011
Dallas
360
557
64.6
4,741
90
17
118.27
15
8
0

2012
Philadelphia
362
540
67.0
4,790
115
18
120.60
13
-6
2

2013
Philadelphia
390
573
68.1
4,699
96
14
122.37
9
-18
0

2014
Philadelphia
363
562
64.6
4,328
85
18
112.46
5
17
0

2015
Philadelphia
411
620
66.3
4,995
119
12
122.41
4
15
1

2016
Philadelphia
339
490
69.2
4,303
101
13
124.86
1
-3
0

2017
Philadelphia
243
365
66.6
3,175
82
10
121.97
3
12
1

2018

Philadelphia

145

209

69.4

1,728

36

6

121.97

5

0

0

Career
2,644
3,962
66.7
33,201

734
109
120.73

57
23
4

Based on the given table, what are the contents of the subsequent rows or columns?
the 11th row,
the 1st row,
the 11th column,
the 10th row,

Requirements: 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>"}.

The extracted row or column contents are listed below.
For the 11th row: {"row_id": "11", "cell_list": ['2018', 'philadelphia', '145', '209', '69.4', '1,728', '36', '6', '121.97', '5', '0', '0']}
For the 1st row: {"row_id": "1", "cell_list": ['year', 'team', 'passing', '', '', '', '', '', '', 'rushing', '', '']}
For the 11th column: {"column_id": "11", "cell_list": ['', 'yds', '2', '8', '6', '18', '17', '15', '3', '12', '0', '23']}
For the 10th row: {"row_id": "10", "cell_list": ['2017', 'philadelphia', '243', '365', '66.6', '3,175', '82', '10', '121.97', '3', '12', '1']}