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:
Hace años que no veo a Rosa, bastantes, pero la recuerdo siempre atenta y callada, con cierto aire británico estilizado y casi pelirrojo - a mí me recordaba un algo a Vanessa Redgrave - en muchos copetines literarios y en las ocasiones en que caí (entonces por casualidad) en casa de Juan Benet, en el chalet de la calle Pisuerga.
Postion	Tokenization
1	Hace
2	años
3	que
4	no
5	veo
6	a
7	Rosa
8	,
9	bastantes
10	,
11	pero
12	la
13	recuerdo
14	siempre
15	atenta
16	y
17	callada
18	,
19	con
20	cierto
21	aire
22	británico
23	estilizado
24	y
25	casi
26	pelirrojo
27	-
28	a
29	mí
30	me
31	recordaba
32	un
33	algo
34	a
35	Vanessa
36	Redgrave
37	-
38	en
39	muchos
40	copetines
41	literarios
42	y
43	en
44	las
45	ocasiones
46	en
47	que
48	caí
49	(
50	entonces
51	por
52	casualidad
53	)
54	en
55	casa
56	de
57	Juan
58	Benet
59	,
60	en
61	el
62	chalet
63	de
64	la
65	calle
66	Pisuerga
67	.
Position	Tokenization	UPOS	Head	Deprel
1	Hace	VERB	5	advcl
2	años	NOUN	1	obj
3	que	SCONJ	5	mark
4	no	ADV	5	advmod
5	veo	VERB	0	root
6	a	ADP	7	case
7	Rosa	PROPN	5	obj
8	,	PUNCT	9	punct
9	bastantes	PRON	5	obl
10	,	PUNCT	9	punct
11	pero	CCONJ	13	cc
12	la	PRON	13	obj
13	recuerdo	VERB	5	conj
14	siempre	ADV	15	advmod
15	atenta	ADJ	13	iobj
16	y	CCONJ	17	cc
17	callada	ADJ	15	conj
18	,	PUNCT	15	punct
19	con	ADP	21	case
20	cierto	DET	21	det
21	aire	NOUN	15	nmod
22	británico	ADJ	21	amod
23	estilizado	ADJ	21	amod
24	y	CCONJ	26	cc
25	casi	ADV	26	advmod
26	pelirrojo	ADJ	23	conj
27	-	PUNCT	31	punct
28	a	ADP	29	case
29	mí	PRON	31	obj
30	me	PRON	31	iobj
31	recordaba	VERB	13	parataxis
32	un	DET	31	advmod
33	algo	NOUN	32	fixed
34	a	ADP	35	case
35	Vanessa	PROPN	31	obj
36	Redgrave	PROPN	35	flat
37	-	PUNCT	31	punct
38	en	ADP	40	case
39	muchos	DET	40	det
40	copetines	NOUN	13	obl
41	literarios	ADJ	40	amod
42	y	CCONJ	45	cc
43	en	ADP	45	case
44	las	DET	45	det
45	ocasiones	NOUN	40	conj
46	en	ADP	47	case
47	que	PRON	48	obl
48	caí	VERB	45	acl
49	(	PUNCT	51	punct
50	entonces	ADV	51	advmod
51	por	ADP	48	advmod
52	casualidad	NOUN	51	fixed
53	)	PUNCT	51	punct
54	en	ADP	55	case
55	casa	NOUN	48	obl
56	de	ADP	57	case
57	Juan	PROPN	55	nmod
58	Benet	PROPN	57	flat
59	,	PUNCT	62	punct
60	en	ADP	62	case
61	el	DET	62	det
62	chalet	NOUN	48	obl
63	de	ADP	65	case
64	la	DET	65	det
65	calle	NOUN	62	nmod
66	Pisuerga	PROPN	65	appos
67	.	PUNCT	5	punct