Task: header-value-matching (source dataset: TableGPT)

Given the input table data and the list of candidate headers, please determine the most suitable column header for each column in the table. Please only choose column headers from the candidate list. Please only return the most suitable column header for each column. Return the chosen column headers in a list. Do not return the entire table. No explanation and return your answer in JSON format: {"column_headers": "<a list of headers for each column chosen from the candidate list>"}.

Table Data:
| Col_0   |   Col_1 |   Col_2 | Col_3   |   Col_4 |   Col_5 | Col_6   |   Col_7 |   Col_8 | Col_9   |   Col_10 |   Col_11 | Col_12   |   Col_13 |   Col_14 | Col_15   |   Col_16 |   Col_17 |   Col_18 |
|:--------|--------:|--------:|:--------|--------:|--------:|:--------|--------:|--------:|:--------|---------:|---------:|:---------|---------:|---------:|:---------|---------:|---------:|---------:|
| XAW     |       0 |       0 |         |       0 |       0 |         |       0 |       0 |         |        0 |        0 |          |        0 |        0 |          |        0 |        0 |        0 |
| XAN     |       5 |       3 | 2.0     |       6 |       5 | 2.0     |       3 |       0 | 1.0     |        6 |        1 | 1.0      |        8 |        3 | 1.0      |       28 |       12 |        7 |
| XAU     |       8 |       5 | 7.0     |       9 |       6 | 1.0     |      11 |       2 |         |       11 |        4 | 1.0      |        4 |        1 | 1.0      |       43 |       18 |       10 |
| XED     |       0 |       0 |         |       0 |       0 |         |       0 |       0 | 1.0     |        4 |        1 |          |       10 |        2 | 1.0      |       14 |        3 |        2 |
| XCU     |       0 |       0 |         |       0 |       0 |         |       0 |       0 |         |        2 |        1 | 1.0      |        2 |        2 |          |        4 |        3 |        1 |

Candidate column headers:
Total Certificate Enrolled 2014
Total Enrolled 2013-2017
Total Certificate Admits 2017
Total Certificate Enrolled 2016
Total Certificate Enrolled 2015
Awarded 2015
Awarded 2014
Awarded 2016
Total Awarded 2013-2017
Awarded 2013
X-Code
Total Certificate Admits 2014
Total Certificate Admits 2015
Awarded 2017
Total Admits 2013-2017
Total Certificate Enrolled 2013
Total Certificate Admits 2016
Total Certificate Enrolled 2017
Total Certificate Admits 2013



headers: Total Certificate Enrolled 2014
Total Enrolled 2013-2017
Total Certificate Admits 2017
Total Certificate Enrolled 2016
Total Certificate Enrolled 2015
Awarded 2015
Awarded 2014
Awarded 2016
Total Awarded 2013-2017
Awarded 2013
X-Code
Total Certificate Admits 2014
Total Certificate Admits 2015
Awarded 2017
Total Admits 2013-2017
Total Certificate Enrolled 2013
Total Certificate Admits 2016
Total Certificate Enrolled 2017
Total Certificate Admits 2013
label: X-Code
Total Certificate Admits 2013
Total Certificate Enrolled 2013
Awarded 2013
Total Certificate Admits 2014
Total Certificate Enrolled 2014
Awarded 2014
Total Certificate Admits 2015
Total Certificate Enrolled 2015
Awarded 2015
Total Certificate Admits 2016
Total Certificate Enrolled 2016
Awarded 2016
Total Certificate Admits 2017
Total Certificate Enrolled 2017
Awarded 2017
Total Admits 2013-2017
Total Enrolled 2013-2017
Total Awarded 2013-2017