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:
Tras precisar que no había venido a hablar de su hermano Javier y de su candidatura al Oscar, dijo: "Tom Hanks es el enemigo a batir", aunque precisó que en Estados Unidos el protagonista de Antes que anochezca "no conoce a nadie, ni le conocen y la película es un filme independiente que se ha visto poco".
Postion	Tokenization
1	Tras
2	precisar
3	que
4	no
5	había
6	venido
7	a
8	hablar
9	de
10	su
11	hermano
12	Javier
13	y
14	de
15	su
16	candidatura
17	al
18	Oscar
19	,
20	dijo
21	:
22	"
23	Tom
24	Hanks
25	es
26	el
27	enemigo
28	a
29	batir
30	"
31	,
32	aunque
33	precisó
34	que
35	en
36	Estados
37	Unidos
38	el
39	protagonista
40	de
41	Antes
42	que
43	anochezca
44	"
45	no
46	conoce
47	a
48	nadie
49	,
50	ni
51	le
52	conocen
53	y
54	la
55	película
56	es
57	un
58	filme
59	independiente
60	que
61	se
62	ha
63	visto
64	poco
65	"
66	.
Position	Tokenization	UPOS	Head	Deprel
1	Tras	ADP	2	mark
2	precisar	VERB	20	advcl
3	que	SCONJ	2	mark
4	no	ADV	2	advmod
5	había	AUX	2	aux
6	venido	VERB	2	xcomp
7	a	ADP	8	mark
8	hablar	VERB	6	advcl
9	de	ADP	11	case
10	su	DET	11	det
11	hermano	NOUN	8	obj
12	Javier	PROPN	11	appos
13	y	CCONJ	16	cc
14	de	ADP	16	case
15	su	DET	16	det
16	candidatura	NOUN	11	conj
17	al	ADP	18	case
18	Oscar	PROPN	16	nmod
19	,	PUNCT	2	punct
20	dijo	VERB	0	root
21	:	PUNCT	27	punct
22	"	PUNCT	27	punct
23	Tom	PROPN	27	nsubj
24	Hanks	PROPN	23	flat
25	es	AUX	27	cop
26	el	DET	27	det
27	enemigo	NOUN	20	ccomp
28	a	ADP	29	mark
29	batir	VERB	27	acl
30	"	PUNCT	27	punct
31	,	PUNCT	33	punct
32	aunque	SCONJ	33	mark
33	precisó	VERB	20	advcl
34	que	SCONJ	46	mark
35	en	ADP	36	case
36	Estados	PROPN	46	obl
37	Unidos	PROPN	36	flat
38	el	DET	39	det
39	protagonista	NOUN	46	nsubj
40	de	ADP	41	case
41	Antes	ADV	39	nmod
42	que	SCONJ	43	case
43	anochezca	PROPN	41	flat
44	"	PUNCT	46	punct
45	no	ADV	46	advmod
46	conoce	VERB	33	ccomp
47	a	ADP	48	case
48	nadie	PRON	46	obj
49	,	PUNCT	52	punct
50	ni	CCONJ	52	cc
51	le	PRON	52	obj
52	conocen	VERB	46	conj
53	y	CCONJ	58	cc
54	la	DET	55	det
55	película	NOUN	58	nsubj
56	es	AUX	58	cop
57	un	DET	58	det
58	filme	NOUN	46	conj
59	independiente	ADJ	58	amod
60	que	PRON	63	nsubj
61	se	PRON	63	expl:pass
62	ha	AUX	63	aux
63	visto	VERB	58	acl
64	poco	ADV	63	advmod
65	"	PUNCT	46	punct
66	.	PUNCT	20	punct