Table:
Year

Team

Games

Receiving

Rushing

Returning

Fumbles

GP
GS
Rec
Yds
Avg
Lng
TD
Att
Yds
Avg
Lng
TD
Ret
Yds
Avg
Lng
TD
Fum
Lost

2014
PIT

10
3
26
549
21.1
94T
8
3
12
4.0
9
0
0
0
0
0
0
0
0

2015
PIT

11
5
50
765
15.3
88T
6
5
37
7.4
13
1
0
0
0
0
0
1
0

2016
PIT

Did not play

2017
PIT

15
8
50
603
12.1
51
3
6
22
3.7
13
0
9
151
16.8
38
0
0
0

2018
OAK

8
2
19
266
14.0
47
0
3
23
7.7
17
0
0
0
0
0
0
1
0

Career
44
18
145
2,183
15.1
94T
17
17
94
5.5
17
1
9
151
16.8
38
0
2
1

Analyze the provided table and identify the locations of these cells:
(1) '11'
(2) '1.59'
(3) 'gs'
(4) 'from'
(5) '51'
(6) '2.05'
Provide the cell locations using the JSON format {'value': '<cell value>', 'location': (row_id, column_id)}, where row and column id start from 1. Should a cell be absent in the table, denote its location as 'DOES NOT EXIST'.

The target cell locations are as follows:
(1) {'value': '11', 'location': (4, 3)}
(2) {'value': '1.59', 'location': 'DOES NOT EXIST'}
(3) {'value': 'gs', 'location': (2, 4)}
(4) {'value': 'from', 'location': 'DOES NOT EXIST'}
(5) {'value': '51', 'location': (6, 8)}
(6) {'value': '2.05', 'location': 'DOES NOT EXIST'}