Table:
Date

Venue

Opponents

Score[1]

Competition

South Korea scorer(s)

20 March

Fukuoka (A)

Japan

2–0

Sanix Cup

20 March

Fukuoka (A)

China

1–0

Sanix Cup

8 August

Toyota (N)

Brazil

0–0

Toyota Cup

9 August

Toyota (A)

Japan

2–2

Toyota Cup

10 August

Toyota (N)

United Arab Emirates

6–0

Toyota Cup

4 October

Tashkent (N)

India

5–2

AFC U-16 Championship (Group B)

6 October

Tashkent (N)

Indonesia

9–0

AFC U-16 Championship (Group B)

8 October

Tashkent (N)

Syria

1–1

AFC U-16 Championship (Group B)

12 October

Tashkent (A)

Uzbekistan

3–0

AFC U-16 Championship (Quarterfinal)

15 October

Tashkent (N)

Japan

2–1

AFC U-16 Championship (Semifinal)

18 October

Tashkent (N)

Iran

1–2

AFC U-16 Championship (Final)

A table may have multiple cells. We can utilize the json format {'value': '<cell value>', 'location': (row_id, column_id)} to store a cell's positions in a table, where both row and column id start from 1. I am providing you a table image. Please tell me the positions of the cells mentioned below using the above format. For the case where a cell is not contained in the table, its location should be denoted as 'DOES NOT EXIST'.
Values to locate:
CELL VALUE 1: 'AFC U-16 Championship (Final)'
CELL VALUE 2: 'goals'
CELL VALUE 3: 'apps'
CELL VALUE 4: '1961-62'
CELL VALUE 5: 'first division'

The coordinates of target cells are listed below.
CELL LOCATION 1: {'value': 'AFC U-16 Championship (Final)', 'location': (12, 5)}
CELL LOCATION 2: {'value': 'goals', 'location': 'DOES NOT EXIST'}
CELL LOCATION 3: {'value': 'apps', 'location': 'DOES NOT EXIST'}
CELL LOCATION 4: {'value': '1961-62', 'location': 'DOES NOT EXIST'}
CELL LOCATION 5: {'value': 'first division', 'location': 'DOES NOT EXIST'}