Table:
Club

Season

League

FA Cup

League Cup

Other

Total

Division
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

Watford

2001–02[52]

First Division

0
0
0
0
0
0
—
0
0

2002–03[5]

4
0
0
0
0
0
—
4
0

2003–04[7]

0
0
0
0
0
0
—
0
0

2004–05[8]

Championship

33
0
5
0
0
0
—
38
0

2005–06[53]

0
0
—
0
0
0

0
0
0

2006–07[11]

Premier League

10
0
2
0
2
0
—
14
0

2007–08[13]

Championship

35
0
2
0
2
0
2[a]
0
41
0

2008–09[15]

10
0
1
0
0
0
—
11
0

2009–10[16]

0
0
2
0
0
0
—
2
0

Total

92
0
12
0
4
0
2
0
110
0

Blackburn Rovers (loan)

2005–06[53]

Premier League

0
0
0
0
0
0
—
0
0

Brentford

2010–11[24]

League One

22
0
3
0
2
0
6[b]
0
33
0

2011–12[27]

37
0
0
0
2
0
3[b]
0
42
0

2012–13[30]

3
0
0
0
2
0
1[b]
0
6
0

2013–14[32]

4
0
1
0
0
0
0
0
5
0

2014–15[35]

Championship

0
0
0
0
1
0
—
1
0

Total

66
0
4
0
7
0
10
0
87
0

Dunstable Town

2017–18[47]

Southern League Premier Division

1

0

—

—

—

1

0

Career total

159
0
16
0
11
0
12
0
198
0

Look at the provided table image. Your goal is to find the locations of the specified cells. Remember to represent a cell's location using the JSON {'value': '<cell value>', 'location': (row index, column index)}. Both row and column indices begin from 1. Use 'DOES NOT EXIST' as the location for a non-existing cell in the table.
Target cells:
1. 'career total'
2. 'brentford'
3. '2004-05'
4. 'division'

The coordinates of target cells are listed below.
1. {'value': 'career total', 'location': (21, 1)}
2. {'value': 'brentford', 'location': (14, 1)}
3. {'value': '2004-05', 'location': (6, 2)}
4. {'value': 'division', 'location': (2, 3)}