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 Golden Palace is an Italian coffee shop located by the river in the City centre. It has middle priced food.
Example Output: name[The Golden Palace], eatType[coffee shop], food[Italian], priceRange[moderate], customer rating[3 out of 5], area[riverside]

Example Input: With a price range of less than £20, Green Man is a cheap place to buy Chinese food. It is not family friendly and is located in the riverside area, near All Bar One.
Example Output: name[Green Man], food[Chinese], priceRange[less than £20], area[riverside], familyFriendly[no], near[All Bar One]

Example Input: For less than £20 you can eat Indian food at The Waterman in the city centre. It is family friendly although it has a low customer rating.
Example Output:
name[The Waterman], food[Indian], priceRange[less than £20], customer rating[low], area[city centre], familyFriendly[yes]