Task: NL2SQL (source dataset: WikiSQL)

Natural language to SQL, also known as NL2SQL, is the problem of generating a SQL query that can be executed on a input table, for a given natural language question.

You will be given an input table called "table" in the markdown format, as well as a question. Your task is to generate an SQL query that can be executed on the input table to answer the question.

Please ensure that the generated SQL only return relevant columns being specifically asked in the question (e.g., in SQL please don't return more than one columns in SELECT if only one column is needed to answer the given question, and similarly please refrain from using SELECT * unless the entire row is needed to answer the question).
 
When generating SQL code, please use the SQLite syntax to ensure that your SQL is executable on SQLite3. Use only columns that are present in the table, always use quotes around your column and table names (some column names have punctuation or special characters), and refer to the columns using the column-names exactly as they appear in the table, do not add or remove punctuation (underscore, slash, etc.)

No explanation, return the code only with the following markdown codeblock format : ```sql<SQL CODE>```. For example, ```sql
SELECT * FROM "table"
``` is a valid format.

Table:
|   Game | Date        | Team          | Score          | High points          | High rebounds                        | High assists                    | Location Attendance               | Record   |
|-------:|:------------|:--------------|:---------------|:---------------------|:-------------------------------------|:--------------------------------|:----------------------------------|:---------|
|     47 | february 2  | @ atlanta     | w 103–91 (ot)  | chris bosh (24)      | chris bosh (10)                      | t. j. ford (10)                 | philips arena 13,200              | 24–23    |
|     48 | february 4  | l.a. clippers | w 122–110 (ot) | chris bosh (27)      | chris bosh (7)                       | josé calderón (12)              | air canada centre 17,214          | 25–23    |
|     49 | february 7  | orlando       | w 113–103 (ot) | chris bosh (41)      | chris bosh (8)                       | josé calderón , t. j. ford (11) | air canada centre 15,157          | 26–23    |
|     50 | february 9  | l.a. lakers   | w 96–92 (ot)   | chris bosh (29)      | chris bosh (11)                      | t. j. ford (7)                  | air canada centre 20,012          | 27–23    |
|     51 | february 10 | @ detroit     | l 92–98 (ot)   | t. j. ford (17)      | chris bosh (11)                      | t. j. ford (11)                 | the palace of auburn hills 22,076 | 27–24    |
|     52 | february 13 | @ chicago     | w 112–111 (ot) | chris bosh (25)      | chris bosh (14)                      | josé calderón (9)               | united center 21,776              | 28–24    |
|     53 | february 14 | new jersey    | w 120–109 (ot) | chris bosh (25)      | chris bosh (9)                       | t. j. ford (8)                  | air canada centre 19,800          | 29–24    |
|     54 | february 21 | cleveland     | l 85–86 (ot)   | chris bosh (24)      | chris bosh (10)                      | t. j. ford (9)                  | air canada centre 19,800          | 29–25    |
|     55 | february 23 | indiana       | w 110–88 (ot)  | chris bosh (23)      | chris bosh (12)                      | josé calderón (12)              | air canada centre 19,481          | 30–25    |
|     56 | february 24 | @ charlotte   | w 93–76 (ot)   | chris bosh (24)      | andrea bargnani , chris bosh (11)    | t. j. ford (4)                  | charlotte bobcats arena 17,091    | 31–25    |
|     57 | february 26 | @ san antonio | l 91–107 (ot)  | andrea bargnani (17) | chris bosh , radoslav nesterović (9) | josé calderón (8)               | at&t center 18,563                | 31–26    |

Question: Who got high assists for the game played on February 9?

table_id: 1-10812293-6
label: SELECT "High assists" FROM "table" WHERE "Date" = "February 9"