Table:
Club

Season

League

Federation Cup

Durand Cup

AFC

Total

Division
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

Royal Wahingdoh

2014–15

I-League
15
0
1
0
0
0
—
—
16
0

Chennaiyin

2015

Indian Super League
6
0
0
0
0
0
—
—
6
0

DSK Shivajians

2015–16

I-League
11
0
0
0
0
0
—
—
11
0

Mumbai City

2015

Indian Super League
16
0
0
0
0
0
—
—
16
0

Bengaluru

2016–17

I-League
7
1
0
0
0
0
1
0
8
1

Delhi Dynamos

2017–18

Indian Super League
2
0
0
0
0
0
0
0
2
0

ATK

2018–19

Indian Super League
2
0
0
0
0
0
0
0
2
0

Career total

58
1
1
0
0
0
1
0
60
1

Given a table, you can represent a cell's position using the JSON {'value': '<cell value>', 'location': (row number, column number)}, where row and column number start from 1. Referring to the shown table picture, determine the locations of the specified cells using the mentioned format.
Target cell values:
1. '2016-17';
2. 'federation cup';
3. 'durand cup';
4. 'season';
5. '2017-18';
6. 'league';
7. 'club';
8. '8';
9. 'total';
Some cell values may not be contained in this table. If so, represent their locations as 'DOES NOT EXIST'.

The coordinates of target cells are listed below.
1. {'value': '2016-17', 'location': (7, 2)}
2. {'value': 'federation cup', 'location': (1, 6)}
3. {'value': 'durand cup', 'location': (1, 8)}
4. {'value': 'season', 'location': (1, 2)}
5. {'value': '2017-18', 'location': (8, 2)}
6. {'value': 'league', 'location': (1, 3)}
7. {'value': 'club', 'location': (1, 1)}
8. {'value': '8', 'location': (7, 12)}
9. {'value': 'total', 'location': (1, 12)}