Table:
Club	Season	League	FA Cup	League Cup	Europe	Other	Total

Division	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals

Aston Villa	1997–98	Premier League	2	0	0	0	0	0	0	0	—	2	0

1998–99	Premier League	32	2	2	0	0	0	3	0	—	37	2

1999–2000	Premier League	30	1	6	0	8	0	—	44	1

2000–01	Premier League	30	0	3	0	1	0	4	1	—	38	1

2001–02	Premier League	20	0	1	0	0	0	7	0	—	28	0

2002–03	Premier League	35	3	1	0	4	1	4	0	—	44	4

2003–04	Premier League	36	3	1	1	6	0	—	43	4

2004–05	Premier League	34	7	1	1	1	0	—	36	8

2005–06	Premier League	36	3	3	1	3	2	—	42	6

2006–07	Premier League	35	8	1	0	3	1	—	39	9

2007–08	Premier League	37	9	1	0	2	0	—	40	9

2008–09	Premier League	38	5	1	0	1	0	8	3	—	48	8

Total	365	41	21	3	29	4	26	4	—	441	52

Manchester City	2009–10	Premier League	34	2	3	0	6	1	—	43	3

2010–11	Premier League	33	2	7	0	0	0	7	0	—	47	2

2011–12	Premier League	34	1	0	0	2	0	7	0	1	0	44	1

2012–13	Premier League	31	1	5	1	1	0	4	0	0	0	41	2

Total	132	6	15	1	9	1	18	0	1	0	175	8

Everton (loan)	2013–14	Premier League	32	3	4	0	1	0	—	37	3

Everton	2014–15	Premier League	33	0	2	0	0	0	9	0	—	44	0

2015–16	Premier League	33	0	2	0	4	0	—	39	0

2016–17	Premier League	33	2	1	0	0	0	—	34	2

2017–18	Premier League	0	0	0	0	0	0	1	0	—	1	0

Total	131	5	9	0	5	0	10	0	—	155	5

West Bromwich Albion	2017–18	Premier League	25	1	3	0	1	0	—	29	1

2018–19	Championship	15	1	0	0	2	0	—	17	1

Career total	668	54	48	4	46	5	54	4	1	0	817	67

Your task is as follows:
In this table image, locate all merged cells and detail their regions using the JSON {'top-left':(X, Y), 'bottom-right':(Z, W)}. Here, '(X, Y)' and '(Z, W)' denote the coordinates (row_id, column_id) of the top-left and bottom-right cells of the merged regions, respectively. Keep in mind that row and column IDs start from 1.

The merged cell regions are as follows:
{'top-left':(1, 1), 'bottom-right':(2, 1)}
{'top-left':(1, 2), 'bottom-right':(2, 2)}
{'top-left':(1, 3), 'bottom-right':(1, 5)}
{'top-left':(1, 6), 'bottom-right':(1, 7)}
{'top-left':(1, 8), 'bottom-right':(1, 9)}
{'top-left':(1, 10), 'bottom-right':(1, 11)}
{'top-left':(1, 12), 'bottom-right':(1, 13)}
{'top-left':(1, 14), 'bottom-right':(1, 15)}
{'top-left':(3, 1), 'bottom-right':(15, 1)}
{'top-left':(3, 12), 'bottom-right':(3, 13)}
{'top-left':(4, 12), 'bottom-right':(4, 13)}
{'top-left':(5, 10), 'bottom-right':(5, 11)}
{'top-left':(6, 12), 'bottom-right':(6, 13)}
{'top-left':(7, 12), 'bottom-right':(7, 13)}
{'top-left':(8, 12), 'bottom-right':(8, 13)}
{'top-left':(9, 10), 'bottom-right':(9, 11)}
{'top-left':(10, 10), 'bottom-right':(10, 11)}
{'top-left':(11, 10), 'bottom-right':(11, 11)}
{'top-left':(12, 10), 'bottom-right':(12, 11)}
{'top-left':(13, 10), 'bottom-right':(13, 11)}
{'top-left':(14, 12), 'bottom-right':(14, 13)}
{'top-left':(15, 2), 'bottom-right':(15, 3)}
{'top-left':(15, 12), 'bottom-right':(15, 13)}
{'top-left':(16, 1), 'bottom-right':(20, 1)}
{'top-left':(16, 10), 'bottom-right':(16, 11)}
{'top-left':(17, 12), 'bottom-right':(17, 13)}
{'top-left':(20, 2), 'bottom-right':(20, 3)}
{'top-left':(21, 10), 'bottom-right':(21, 11)}
{'top-left':(22, 1), 'bottom-right':(26, 1)}
{'top-left':(22, 12), 'bottom-right':(22, 13)}
{'top-left':(23, 10), 'bottom-right':(23, 11)}
{'top-left':(24, 10), 'bottom-right':(24, 11)}
{'top-left':(25, 12), 'bottom-right':(25, 13)}
{'top-left':(26, 2), 'bottom-right':(26, 3)}
{'top-left':(26, 12), 'bottom-right':(26, 13)}
{'top-left':(27, 1), 'bottom-right':(28, 1)}
{'top-left':(27, 10), 'bottom-right':(27, 11)}
{'top-left':(28, 10), 'bottom-right':(28, 11)}
{'top-left':(29, 1), 'bottom-right':(29, 3)}.