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:
The employees make you feel very comfortable and are very helpful, whether you are very knowledgeable or don't know anything at all about wine.
Postion	Tokenization
1	The
2	employees
3	make
4	you
5	feel
6	very
7	comfortable
8	and
9	are
10	very
11	helpful
12	,
13	whether
14	you
15	are
16	very
17	knowledgeable
18	or
19	don't
20	do
21	n't
22	know
23	anything
24	at
25	all
26	about
27	wine
28	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	employees	NOUN	3	nsubj
3	make	VERB	0	root
4	you	PRON	3	obj
5	feel	VERB	3	xcomp
6	very	ADV	7	advmod
7	comfortable	ADJ	5	xcomp
8	and	CCONJ	11	cc
9	are	AUX	11	cop
10	very	ADV	11	advmod
11	helpful	ADJ	3	conj
12	,	PUNCT	11	punct
13	whether	SCONJ	17	mark
14	you	PRON	17	nsubj
15	are	AUX	17	cop
16	very	ADV	17	advmod
17	knowledgeable	ADJ	11	advcl
18	or	CCONJ	21	cc
19	don't	_	None	_
20	do	AUX	21	aux
21	n't	PART	21	advmod
22	know	VERB	17	conj
23	anything	PRON	21	obj
24	at	ADV	24	case
25	all	ADV	22	nmod
26	about	ADP	26	case
27	wine	NOUN	22	nmod
28	.	PUNCT	3	punct