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 cheap Japanese coffee shop Cotto is located in the city centre near The Portland Arms.  They are highly rated with 5 out of 5.
Example Output: name[Cotto], eatType[coffee shop], food[Japanese], priceRange[cheap], customer rating[5 out of 5], area[city centre], near[The Portland Arms]

Example Input: A child friendly English restaurant but with a high price range is Loch Fyne.
Example Output: name[Loch Fyne], eatType[restaurant], food[English], priceRange[high], familyFriendly[yes]

Example Input: The Waterman is a highly-rated Indian restaurant in the riverside area.  It is child-friendly and in the high price range.
Example Output:
name[The Waterman], food[Indian], priceRange[more than £30], customer rating[high], area[riverside], familyFriendly[yes]