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 assists          | Location Attendance          | Record   |
|-------:|:------------|:---------------|:---------------|:--------------------------------|:----------------------|:-----------------------------|:---------|
|     47 | february 2  | @ washington   | w 113–97 (ot)  | o. j. mayo (33)                 | mike conley, jr. (5)  | verizon center 11,442        | 12–35    |
|     48 | february 4  | houston        | w 104–93 (ot)  | o. j. mayo (32)                 | mike conley, jr. (7)  | fedexforum 10,109            | 13–35    |
|     49 | february 6  | l.a. clippers  | l 105–126 (ot) | rudy gay (26)                   | mike conley, jr. (3)  | fedexforum 10,912            | 13–36    |
|     50 | february 7  | toronto        | w 78–70 (ot)   | o. j. mayo , hakim warrick (16) | mike conley, jr. (8)  | fedexforum 11,498            | 14–36    |
|     51 | february 9  | new orleans    | w 85–80 (ot)   | o. j. mayo (22)                 | mike conley, jr. (8)  | fedexforum 10,896            | 15–36    |
|     52 | february 11 | @ philadelphia | l 87–91 (ot)   | hakim warrick (31)              | o. j. mayo (5)        | wachovia center 12,812       | 15–37    |
|     53 | february 17 | @ utah         | l 99–117 (ot)  | o. j. mayo , rudy gay (18)      | mike conley, jr. (4)  | energysolutions arena 19,911 | 15–38    |
|     54 | february 18 | @ portland     | l 90–94 (ot)   | rudy gay (20)                   | mike conley, jr. (10) | rose garden 20,385           | 15–39    |
|     55 | february 20 | sacramento     | l 106–115 (ot) | o. j. mayo (24)                 | mike conley, jr. (7)  | fedexforum 15,036            | 15–40    |
|     56 | february 24 | @ cleveland    | l 79–94 (ot)   | hakim warrick , rudy gay (13)   | mike conley, jr. (7)  | quicken loans arena 20,562   | 15–41    |
|     57 | february 25 | @ indiana      | l 99–104 (ot)  | marc gasol (22)                 | mike conley, jr. (8)  | conseco fieldhouse 13,211    | 15–42    |
|     58 | february 28 | oklahoma city  | l 92–99 (ot)   | rudy gay (20)                   | mike conley, jr. (4)  | fedexforum 10,074            | 15–43    |

Question: What are the High assists for Team houston?

table_id: 2-17121262-8
label: SELECT "High assists" FROM "table" WHERE "Team" = "houston"