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 Rice Boat is a Japanese eatery located near the Express by Holiday Inn in the city centre. Their prices are less than £20 but have low customer ratings and are not family-friendly.
Example Output: name[The Rice Boat], food[Japanese], priceRange[less than £20], customer rating[low], area[city centre], familyFriendly[no], near[Express by Holiday Inn]

Example Input: Located in Riverside, near The Rice Boat, The Twenty Two is a children friendly restaurant with a high price range and a low customer rating.
Example Output: name[The Twenty Two], priceRange[high], customer rating[1 out of 5], area[riverside], familyFriendly[yes], near[The Rice Boat]

Example Input: The Waterman restaurant is not kid friendly, has a customer rating of 1 out of 5 and a moderate price range.  Serves Chinese food in the riverside area.
Example Output:
name[The Waterman], food[Chinese], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[no]

