Table:
Season
Team
Games
Tackles
Interceptions
Fumbles

GP
GS
Comb
Total
Ast
Sck
SFTY
PDef
Int
Yds
Avg
Lng
TDs
FF

2012
Indianapolis Colts

16
16
145
90
55
2.0
–
2
1
4
4.0
4T
1
1

2013
Indianapolis Colts

16
16
126
83
43
5.5
–
6
2
13
6.5
13
0
6

2014
Indianapolis Colts

12
12
95
58
37
1.5
–
6
–
–
–
–
–
1

2015
Indianapolis Colts

13
13
112
66
46
3.0
–
2
1
23
23.0
23T
1
0

2016
Chicago Bears

12
12
110
86
24
0.0
–
4
–
–
–
–
–
–

2017
Chicago Bears

1
1
10
7
3
0
0
0
0
0
0
0
0
0

Total
70
70
598
390
208
12.0
0
20
4
40
10.0
23
2
8

Analyze the provided table and extract the contents of specified rows or columns, identified by row or column indices. The cells of every row or column should be presented in the JSON format of {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}, e.g., {"row_id":"3", "cell_list": ["xxx", "yyy", "zzz"]}.
Target rows or columns:
row 5,
column 12,
row 7,
row 4,

The extracted row or column contents are listed below.
For row 5: {"row_id": "5", "cell_list": ['2014', 'indianapolis colts', '12', '12', '95', '58', '37', '1.5', '-', '6', '-', '-', '-', '-', '-', '1']}
For column 12: {"column_id": "12", "cell_list": ['', 'yds', '4', '13', '-', '23', '-', '0', '40']}
For row 7: {"row_id": "7", "cell_list": ['2016', 'chicago bears', '12', '12', '110', '86', '24', '0.0', '-', '4', '-', '-', '-', '-', '-', '-']}
For row 4: {"row_id": "4", "cell_list": ['2013', 'indianapolis colts', '16', '16', '126', '83', '43', '5.5', '-', '6', '2', '13', '6.5', '13', '0', '6']}