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: If you want Japanese food, The Cambridge Blue  is fair but has a low customer rating.
Example Output: name[The Cambridge Blue], eatType[restaurant], food[Japanese], customer rating[low]

Example Input: The Phoenix is a fast food restaurant in the riverside area.  its prices are low.
Example Output: name[The Phoenix], food[Fast food], priceRange[moderate], customer rating[1 out of 5], area[riverside]

Example Input: The Twenty Two is in the riverside area. It is located near The Rice Boat. It provides children friendly activities.
Example Output:
name[The Twenty Two], priceRange[more than £30], customer rating[low], area[riverside], familyFriendly[yes], near[The Rice Boat]