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 table image, extract the cell contents located in column 5. Represent the cells in a column with the JSON format {"column_id":"<column index>", "cell_list":"<a list of cells in this column>"}. For instance, {"column_id":"5", "cell_list": ["152", "UN", "one last kiss"]}.

The cells in column 5: {"column_id": "5", "cell_list": ['', 'pct', '67.4', '64.6', '67.0', '68.1', '64.6', '66.3', '69.2', '66.6', '69.4', '66.7']}