Table:
Year

Team

Games

Passing

Rushing

Fumbles

G
GS
W–L
Comp
Att
Pct
Yds
Avg
TD
Int
Rtg
Att
Yds
Avg
TD
Fum
Lost

2012
MIA

16
16
7–9
282
484
58.3
3,294
6.8
12
13
76.1
49
211
4.3
2
9
4

2013
MIA

16
16
8–8
355
588
60.4
3,913
6.7
24
17
81.7
40
238
6.0
1
9
5

2014
MIA

16
16
8–8
392
590
66.4
4,045
6.9
27
12
92.8
56
311
5.6
1
9
2

2015
MIA

16
16
6–10
363
586
61.9
4,208
7.2
24
12
88.7
32
141
4.4
1
10
3

2016
MIA

13
13
8–5
261
389
67.1
2,995
7.7
19
12
93.5
39
164
4.2
1
9
3

2017
MIA

0
0
0–0
Did not play due to injury

2018
MIA

11
11
5–6
176
274
64.2
1,979
7.2
17
9
92.7
32
145
4.5
0
5
4

Career
88
88
42–46
1,829
2,911
62.8%
20,434
7.0
123
75
87.0
248
1,210
4.9
6
51
21

Sources: [91][92]

In the context of a table, we can utilize the json format {'value': '<cell value>', 'location': (Row_ID, Column_ID)} to express a cell's position, where both row and column IDs commence from 1. Examining the provided table image, identify the locations of the following cells using this format.
Values to locate:
(1) '56'
(2) 'port vale'
(3) '7.7'
(4) '67.1'
(5) 'total'
If a cell does not exist in the table, denote its location as 'DOES NOT EXIST'.

The target cell locations are as follows:
(1) {'value': '56', 'location': (5, 13)}
(2) {'value': 'port vale', 'location': 'DOES NOT EXIST'}
(3) {'value': '7.7', 'location': (7, 9)}
(4) {'value': '67.1', 'location': (7, 7)}
(5) {'value': 'total', 'location': 'DOES NOT EXIST'}