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:
Un buen bebedor es el que es capaz de introducirse en un vino nuevo, pero que también es capaz de reconocer a ciegas los muchos vinos bebidos con sentimiento.
Postion	Tokenization
1	Un
2	buen
3	bebedor
4	es
5	el
6	que
7	es
8	capaz
9	de
10	introducirse
11	introducir
12	se
13	en
14	un
15	vino
16	nuevo
17	,
18	pero
19	que
20	también
21	es
22	capaz
23	de
24	reconocer
25	a
26	ciegas
27	los
28	muchos
29	vinos
30	bebidos
31	con
32	sentimiento
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	3	det
2	buen	ADJ	3	amod
3	bebedor	NOUN	4	nsubj
4	es	AUX	0	root
5	el	DET	8	det
6	que	PRON	8	nsubj
7	es	AUX	8	cop
8	capaz	ADJ	4	ccomp
9	de	ADP	10	mark
10	introducirse	_	None	_
11	introducir	VERB	8	acl
12	se	PRON	10	obj
13	en	ADP	14	case
14	un	DET	14	det
15	vino	NOUN	10	obl
16	nuevo	ADJ	14	amod
17	,	PUNCT	21	punct
18	pero	CCONJ	21	cc
19	que	PRON	21	nsubj
20	también	ADV	21	advmod
21	es	AUX	21	cop
22	capaz	ADJ	8	conj
23	de	ADP	23	mark
24	reconocer	VERB	21	acl
25	a	ADP	23	advmod
26	ciegas	NOUN	24	fixed
27	los	DET	28	det
28	muchos	DET	26	det
29	vinos	NOUN	23	obj
30	bebidos	ADJ	28	amod
31	con	ADP	31	case
32	sentimiento	NOUN	29	obl
33	.	PUNCT	4	punct