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 Green Man is located in the city centre near the All Bar One.
Example Output: name[Green Man], food[Fast food], priceRange[less than £20], area[riverside], familyFriendly[no], near[All Bar One]

Example Input: A children friendly coffee shop located in the riverside area near Café Sicilia, The Dumpling Tree has prices more than £30.
Example Output: name[The Dumpling Tree], eatType[coffee shop], priceRange[more than £30], area[riverside], familyFriendly[yes], near[Café Sicilia]

Example Input: Zizzi is a family-friendly coffee shop located in riverside with an average rating and prices less than £20.
Example Output:
name[Zizzi], eatType[coffee shop], priceRange[less than £20], customer rating[average], area[riverside], familyFriendly[yes]