Table:
Period

Live births per year

Deaths per year

Natural change per year

CBR*

CDR*

NC*

TFR*

IMR*

1950-1955
139 000
66 000
74 000
52.6
24.8
27.8
6.86
174

1955-1960
164 000
76 000
88 000
53.8
24.9
29.0
6.96
171

1960-1965
195 000
89 000
105 000
55.5
25.5
30.1
7.13
167

1965-1970
229 000
105 000
124 000
56.2
25.8
30.4
7.32
164

1970-1975
263 000
121 000
142 000
55.8
25.6
30.2
7.52
162

1975-1980
301 000
138 000
164 000
55.1
25.1
29.9
7.63
161

1980-1985
350 000
157 000
193 000
55.4
24.8
30.6
7.76
159

1985-1990
406 000
179 000
227 000
55.9
24.6
31.3
7.81
155

1990-1995
471 000
192 000
279 000
55.5
22.7
32.8
7.78
146

1995-2000
538 000
194 000
344 000
53.5
19.3
34.2
7.60
131

2000-2005
614 000
194 000
420 000
51.3
16.2
35.1
7.40
113

2005-2010
705 000
196 000
509 000
49.5
13.8
35.7
7.19
96

* CBR = crude birth rate (per 1000); CDR = crude death rate (per 1000); NC = natural change (per 1000); IMR = infant mortality rate per 1000 births; TFR = total fertility rate (number of children per woman)

the 4th column,
the 3rd column,
Extract the contents of cells in the above columns, identified by column indices. The cells in a column should be presented in the JSON format of {"column_id":"<column index>", "cell_list":"<a list of cells in this column>"}, e.g., {"column_id":"3", "cell_list": ["xxx", "yyy", "zzz"]}.

The extracted column contents are listed below.
For the 4th column: {"column_id": "4", "cell_list": ['Natural change per year', '74 000', '88 000', '105 000', '124 000', '142 000', '164 000', '193 000', '227 000', '279 000', '344 000', '420 000', '509 000']}
For the 3rd column: {"column_id": "3", "cell_list": ['Deaths per year', '66 000', '76 000', '89 000', '105 000', '121 000', '138 000', '157 000', '179 000', '192 000', '194 000', '194 000', '196 000']}