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:
La víctima, A. E., ha presentado una denuncia en comisaría en la que se explica que la paliza se produjo alrededor de las ocho de la tarde, cuando regresaba a su casa del barrio de Gràcia, caminando por la calle de Brutau, tras entrenar en las pistas de atletismo de Sant Oleguer.
Postion	Tokenization
1	La
2	víctima
3	,
4	A.
5	E.
6	,
7	ha
8	presentado
9	una
10	denuncia
11	en
12	comisaría
13	en
14	la
15	que
16	se
17	explica
18	que
19	la
20	paliza
21	se
22	produjo
23	alrededor
24	de
25	las
26	ocho
27	de
28	la
29	tarde
30	,
31	cuando
32	regresaba
33	a
34	su
35	casa
36	del
37	barrio
38	de
39	Gràcia
40	,
41	caminando
42	por
43	la
44	calle
45	de
46	Brutau
47	,
48	tras
49	entrenar
50	en
51	las
52	pistas
53	de
54	atletismo
55	de
56	Sant
57	Oleguer
58	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	víctima	NOUN	8	nsubj
3	,	PUNCT	4	punct
4	A.	PROPN	2	appos
5	E.	PROPN	4	flat
6	,	PUNCT	4	punct
7	ha	AUX	8	aux
8	presentado	VERB	0	root
9	una	DET	10	det
10	denuncia	NOUN	8	obj
11	en	ADP	12	case
12	comisaría	NOUN	8	obl
13	en	ADP	15	case
14	la	DET	15	det
15	que	PRON	17	obl
16	se	PRON	17	expl:pass
17	explica	VERB	8	advcl
18	que	SCONJ	22	mark
19	la	DET	20	det
20	paliza	NOUN	22	nsubj
21	se	PRON	22	expl:pv
22	produjo	VERB	17	csubj
23	alrededor	ADV	22	advmod
24	de	ADP	26	case
25	las	DET	26	det
26	ocho	NOUN	23	obl
27	de	ADP	29	case
28	la	DET	29	det
29	tarde	NOUN	26	nmod
30	,	PUNCT	32	punct
31	cuando	PRON	32	obl
32	regresaba	VERB	26	acl
33	a	ADP	35	case
34	su	DET	35	det
35	casa	NOUN	32	obl
36	del	ADP	37	case
37	barrio	NOUN	35	nmod
38	de	ADP	39	case
39	Gràcia	PROPN	37	nmod
40	,	PUNCT	41	punct
41	caminando	VERB	32	advcl
42	por	ADP	44	case
43	la	DET	44	det
44	calle	NOUN	41	obl
45	de	ADP	46	case
46	Brutau	PROPN	44	nmod
47	,	PUNCT	41	punct
48	tras	ADP	49	mark
49	entrenar	VERB	32	advcl
50	en	ADP	52	case
51	las	DET	52	det
52	pistas	NOUN	49	obl
53	de	ADP	54	case
54	atletismo	NOUN	52	nmod
55	de	ADP	56	case
56	Sant	PROPN	52	nmod
57	Oleguer	PROPN	56	flat
58	.	PUNCT	8	punct