As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
Our waiter quickly grasped the fact that I like Ginger ale and rather spicy foods while my wife's taste ran to lemonade and less spicy fare.
Postion	Tokenization
1	Our
2	waiter
3	quickly
4	grasped
5	the
6	fact
7	that
8	I
9	like
10	Ginger
11	ale
12	and
13	rather
14	spicy
15	foods
16	while
17	my
18	wife's
19	wife
20	's
21	taste
22	ran
23	to
24	lemonade
25	and
26	less
27	spicy
28	fare
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Our	PRON	2	nmod:poss
2	waiter	NOUN	4	nsubj
3	quickly	ADV	4	advmod
4	grasped	VERB	0	root
5	the	DET	6	det
6	fact	NOUN	4	obj
7	that	SCONJ	9	mark
8	I	PRON	9	nsubj
9	like	VERB	6	acl
10	Ginger	NOUN	11	compound
11	ale	NOUN	9	obj
12	and	CCONJ	15	cc
13	rather	ADV	14	advmod
14	spicy	ADJ	15	amod
15	foods	NOUN	11	conj
16	while	SCONJ	21	mark
17	my	PRON	18	nmod:poss
18	wife's	_	None	_
19	wife	NOUN	20	nmod:poss
20	's	PART	18	case
21	taste	NOUN	21	nsubj
22	ran	VERB	9	advcl
23	to	ADP	23	case
24	lemonade	NOUN	21	obl
25	and	CCONJ	27	cc
26	less	ADV	26	advmod
27	spicy	ADJ	27	amod
28	fare	NOUN	23	conj
29	.	PUNCT	4	punct