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.

[EX Q]: Average restaurant named Strada.
[EX A]: name[Strada], eatType[restaurant], customer rating[average]

[EX Q]: Alimentum is an Indian restaurant that is moderately priced. It is kid friendly and in the city centre.
[EX A]: name[Alimentum], food[Indian], priceRange[moderate], area[city centre], familyFriendly[yes]

[EX Q]: Cocum is a well-respected Italian coffee shop, offering food at the higher price range. It is child-friendly.
[EX A]:
name[Cocum], eatType[coffee shop], food[Italian], priceRange[£20-25], customer rating[high], familyFriendly[yes]