Task: Table-QA (source dataset: FinQA)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
| $ in millions                | average for theyear ended december 2014   | average for theyear ended december 2013   |
|:-----------------------------|:------------------------------------------|:------------------------------------------|
| u.s . dollar-denominated     | $ 134223                                  | $ 136824                                  |
| non-u.s . dollar-denominated | 45410                                     | 45826                                     |
| total                        | $ 179633                                  | $ 182650                                  |

Question:
in 2014 what percentage of gcla is in non-u.s . dollar denominated assets?


pre_text: management 2019s discussion and analysis liquidity risk management liquidity is of critical importance to financial institutions .
most of the failures of financial institutions have occurred in large part due to insufficient liquidity .
accordingly , we have in place a comprehensive and conservative set of liquidity and funding policies to address both firm-specific and broader industry or market liquidity events .
our principal objective is to be able to fund the firm and to enable our core businesses to continue to serve clients and generate revenues , even under adverse circumstances .
we manage liquidity risk according to the following principles : global core liquid assets .
we maintain substantial liquidity ( gcla , previously gce ) to meet a broad range of potential cash outflows and collateral needs in a stressed environment .
asset-liability management .
we assess anticipated holding periods for our assets and their expected liquidity in a stressed environment .
we manage the maturities and diversity of our funding across markets , products and counterparties , and seek to maintain liabilities of appropriate tenor relative to our asset base .
contingency funding plan .
we maintain a contingency funding plan to provide a framework for analyzing and responding to a liquidity crisis situation or periods of market stress .
this framework sets forth the plan of action to fund normal business activity in emergency and stress situations .
these principles are discussed in more detail below .
global core liquid assets our most important liquidity policy is to pre-fund our estimated potential cash and collateral needs during a liquidity crisis and hold this liquidity in the form of unencumbered , highly liquid securities and cash .
we believe that the securities held in our gcla would be readily convertible to cash in a matter of days , through liquidation , by entering into repurchase agreements or from maturities of resale agreements , and that this cash would allow us to meet immediate obligations without needing to sell other assets or depend on additional funding from credit-sensitive markets .
as of december 2014 and december 2013 , the fair value of the securities and certain overnight cash deposits included in our gcla , totaled $ 182.95 billion and $ 184.07 billion , respectively .
based on the results of our internal liquidity risk models , discussed below , as well as our consideration of other factors including , but not limited to , an assessment of our potential intraday liquidity needs and a qualitative assessment of the condition of the financial markets and the firm , we believe our liquidity position as of both december 2014 and december 2013 was appropriate .
the table below presents the fair value of the securities and certain overnight cash deposits that are included in our average for the year ended december $ in millions 2014 2013 .
post_text: the u.s .
dollar-denominated gcla is composed of ( i ) unencumbered u.s .
government and federal agency obligations ( including highly liquid u.s .
federal agency mortgage-backed obligations ) , all of which are eligible as collateral in federal reserve open market operations and ( ii ) certain overnight u.s .
dollar cash deposits .
the non- u.s .
dollar-denominated gcla is composed of only unencumbered german , french , japanese and united kingdom government obligations and certain overnight cash deposits in highly liquid currencies .
we strictly limit our gcla to this narrowly defined list of securities and cash because they are highly liquid , even in a difficult funding environment .
we do not include other potential sources of excess liquidity in our gcla , such as less liquid unencumbered securities or committed credit facilities .
72 goldman sachs 2014 annual report .
label: 0.25279
qa: answer: 25%
ann_table_rows: 2
3
steps: op: divide2-1
arg1: 45410
arg2: 179633
res: 25%
program: divide(45410, 179633)
gold_inds: table_2: $ in millions the non-u.s . dollar-denominated of average for theyear ended december 2014 is 45410 ; the non-u.s . dollar-denominated of average for theyear ended december 2013 is 45826 ;
table_3: $ in millions the total of average for theyear ended december 2014 is $ 179633 ; the total of average for theyear ended december 2013 is $ 182650 ;
exe_ans: 0.25279
tfidftopn: text_23: the non- u.s .
program_re: divide(45410, 179633)
model_input: table_1
$ in millions the u.s . dollar-denominated of average for theyear ended december 2014 is $ 134223 ; the u.s . dollar-denominated of average for theyear ended december 2013 is $ 136824 ;
table_2
$ in millions the non-u.s . dollar-denominated of average for theyear ended december 2014 is 45410 ; the non-u.s . dollar-denominated of average for theyear ended december 2013 is 45826 ;
table_3
$ in millions the total of average for theyear ended december 2014 is $ 179633 ; the total of average for theyear ended december 2013 is $ 182650 ;