Table:
Season

Competition

Round

Club

Home

Away

1985–86

UEFA Cup Winners' Cup

1R

HJK Helsinki

1–2

2–3

1986–87

UEFA Cup

1R

FC Barcelona

1–1

0–0

1987–88

UEFA Cup

1R

FK Partizan Beograd

2–0

1–2

2R

Wismut Aue

2–0

0–1

1/16

FC Barcelona

1–0

1–4

1988–89

UEFA Cup Winners' Cup

1R

Lech Poznań

2–3

0–1

1990–91

UEFA Cup Winners' Cup

1R

Olympiacos Piraeus

0–2

1–3

1991–92

UEFA European Cup

1R

IFK Göteborg

1–1

0–0

1996–97

UEFA Cup Winners' Cup

QR

Humenné

0–2

0–1

2009–10

UEFA Europa League

2QR

Motherwell

1–0

1–8

2011–12

UEFA Europa League

1QR

FK Budućnost

1–2

3–1

2QR

FK Jablonec 97

0–2

1–5

2012–13

UEFA Europa League

1QR

Budapest Honvéd

0–1

0–2

Analyze the provided table and identify the locations of these cells:
(1) 'Competition'
(2) '2nd'
(3) '1986–87'
(4) 'Round'
(5) 'FK Budućnost'
(6) '2012–13'
(7) '1–8'
(8) 'Away'
(9) '13th'
(10) '1991–92'
Provide the cell locations using the JSON format {'value': '<cell value>', 'location': (row_id, column_id)}, where row and column id start from 1. Denote the location as 'DOES NOT EXIST' if a cell does not exist in the table.

The coordinates of target cells are listed below.
(1) {'value': 'Competition', 'location': (1, 2)}
(2) {'value': '2nd', 'location': 'DOES NOT EXIST'}
(3) {'value': '1986–87', 'location': (3, 1)}
(4) {'value': 'Round', 'location': (1, 3)}
(5) {'value': 'FK Budućnost', 'location': (12, 4)}
(6) {'value': '2012–13', 'location': (14, 1)}
(7) {'value': '1–8', 'location': (11, 6)}
(8) {'value': 'Away', 'location': (1, 6)}
(9) {'value': '13th', 'location': 'DOES NOT EXIST'}
(10) {'value': '1991–92', 'location': (9, 1)}