Table:
Club statistics

Club

Season

League

Cup

Continental

Other

Total

Division
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

Acassuso

2011–12

Primera B Metropolitana

32
4
0
0
—
0
0
32
4

2012–13

11
1
0
0
—
0
0
11
1

2013–14

14
0
0
0
—
0
0
14
0

2014

21
4
0
0
—
0
0
21
4

Total

78
9
0
0
—
0
0
78
9

Colón (loan)

2015

Primera División

20
5
0
0
—
0
0
20
5

Argentinos Juniors

2016

13
1
0
0
—
0
0
13
1

2016–17

Primera B Nacional

42
15
2
1
—
0
0
44
16

2017–18

Primera División

11
5
0
0
—
0
0
11
5

Total

66
21
2
1
—
0
0
68
22

Independiente

2017–18

Primera División

7
1
0
0
2[a]
0
0
0
9
1

2018–19

12
3
2
0
2[a]
0
0
0
16
3

Total

19
4
2
0
4
0
0
0
25
4

Athletico Paranaense (loan)

2019

Série A

0
0
0
0
0
0
0
0
0
0

Career total

183
39
4
1
4
0
0
0
191
40

To fulfill your task, review the table image and pinpoint the positions of the specified cells. Make sure to represent a cell's location using the JSON format {'value': '<cell value>', 'location': (row_id, column_id)} which begin from '(1, 1)'.
Target cells:
CELL VALUE 1: '44',
CELL VALUE 2: 'continental',
CELL VALUE 3: '40',
CELL VALUE 4: 'club',
CELL VALUE 5: '66',
CELL VALUE 6: '2014',
CELL VALUE 7: '194',
CELL VALUE 8: 'cup',
CELL VALUE 9: 'independiente',

For the case where a cell is not contained in the table, its location should be denoted as 'DOES NOT EXIST'.

The coordinates of target cells are listed below.
CELL LOCATION 1: {'value': '44', 'location': (10, 10)}
CELL LOCATION 2: {'value': 'continental', 'location': (1, 8)}
CELL LOCATION 3: {'value': '40', 'location': (17, 13)}
CELL LOCATION 4: {'value': 'club', 'location': (1, 1)}
CELL LOCATION 5: {'value': '66', 'location': (12, 4)}
CELL LOCATION 6: {'value': '2014', 'location': (6, 2)}
CELL LOCATION 7: {'value': '194', 'location': (17, 12)}
CELL LOCATION 8: {'value': 'cup', 'location': (1, 6)}
CELL LOCATION 9: {'value': 'independiente', 'location': (13, 1)}