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: Browns Cambridge is a cheaper Japanese venue however its rating by customers is low.
Example Output: name[Browns Cambridge], food[Japanese], priceRange[less than £20], customer rating[low]

Example Input: Alimentum is a one star restaurant near the Yippee Noodle Bar
Example Output: name[Alimentum], food[Fast food], priceRange[high], customer rating[1 out of 5], area[riverside], near[Yippee Noodle Bar]

Example Input: Located near The Portland Arms, at the city centre, Cotto is an Italian coffee shop. Prices range more than £30. Customers have given it a high rating.
Example Output:
name[Cotto], eatType[coffee shop], food[Italian], priceRange[more than £30], customer rating[high], area[city centre], near[The Portland Arms]