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:
Desde que se diera a conocer internacionalmente con American gigolo, Richard Gere ha sido uno de los actores del nuevo Hollywood que, en alguna medida, se ha asemejado más a los de antes.
Postion	Tokenization
1	Desde
2	que
3	se
4	diera
5	a
6	conocer
7	internacionalmente
8	con
9	American
10	gigolo
11	,
12	Richard
13	Gere
14	ha
15	sido
16	uno
17	de
18	los
19	actores
20	del
21	nuevo
22	Hollywood
23	que
24	,
25	en
26	alguna
27	medida
28	,
29	se
30	ha
31	asemejado
32	más
33	a
34	los
35	de
36	antes
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Desde	ADP	4	mark
2	que	SCONJ	4	mark
3	se	PRON	4	expl:pass
4	diera	VERB	16	advcl
5	a	ADP	6	case
6	conocer	NOUN	4	compound
7	internacionalmente	ADV	4	advmod
8	con	ADP	9	case
9	American	PROPN	4	obl
10	gigolo	PROPN	9	flat
11	,	PUNCT	4	punct
12	Richard	PROPN	16	nsubj
13	Gere	PROPN	12	flat
14	ha	AUX	16	aux
15	sido	AUX	16	cop
16	uno	PRON	0	root
17	de	ADP	19	case
18	los	DET	19	det
19	actores	NOUN	16	nmod
20	del	ADP	22	case
21	nuevo	ADJ	22	amod
22	Hollywood	PROPN	19	nmod
23	que	PRON	31	nsubj
24	,	PUNCT	27	punct
25	en	ADP	27	case
26	alguna	DET	27	det
27	medida	NOUN	31	obl
28	,	PUNCT	27	punct
29	se	PRON	31	expl:pv
30	ha	AUX	31	aux
31	asemejado	VERB	16	acl
32	más	ADV	31	advmod
33	a	ADP	34	case
34	los	DET	31	det
35	de	ADP	34	case
36	antes	ADV	34	obj
37	.	PUNCT	16	punct