In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

Example Input: The Punter has Chinese food in the price Range of £20-25.
Example Output: name[The Punter], food[Chinese], priceRange[£20-25]

Example Input: Alimentum providing fast food less than £20 price range. It is located in city center.
Example Output: name[Alimentum], food[Fast food], priceRange[less than £20], area[city centre], familyFriendly[no]

Example Input: In the city centre, near Clare Hall, you can find the moderate Fast food place Bibimbap House.
Example Output:
name[Bibimbap House], food[Fast food], priceRange[moderate], area[city centre], near[Clare Hall]