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:
El portavoz del PNV en el Senado, Joseba Zubia, también presente en el acto informativo, informó de que hace unos meses le quemaron su vehículo y no lo publicitó, y afirmó que "no se trata de hacer victimismo sino de procurar, entre todos, que hechos de esta naturaleza no se repitan".
Postion	Tokenization
1	El
2	portavoz
3	del
4	PNV
5	en
6	el
7	Senado
8	,
9	Joseba
10	Zubia
11	,
12	también
13	presente
14	en
15	el
16	acto
17	informativo
18	,
19	informó
20	de
21	que
22	hace
23	unos
24	meses
25	le
26	quemaron
27	su
28	vehículo
29	y
30	no
31	lo
32	publicitó
33	,
34	y
35	afirmó
36	que
37	"
38	no
39	se
40	trata
41	de
42	hacer
43	victimismo
44	sino
45	de
46	procurar
47	,
48	entre
49	todos
50	,
51	que
52	hechos
53	de
54	esta
55	naturaleza
56	no
57	se
58	repitan
59	"
60	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	portavoz	NOUN	19	nsubj
3	del	ADP	4	case
4	PNV	PROPN	2	nmod
5	en	ADP	7	case
6	el	DET	7	det
7	Senado	PROPN	2	nmod
8	,	PUNCT	9	punct
9	Joseba	PROPN	2	appos
10	Zubia	PROPN	9	flat
11	,	PUNCT	9	punct
12	también	ADV	13	advmod
13	presente	ADJ	2	amod
14	en	ADP	16	case
15	el	DET	16	det
16	acto	NOUN	13	nmod
17	informativo	ADJ	16	amod
18	,	PUNCT	2	punct
19	informó	VERB	0	root
20	de	ADP	26	mark
21	que	SCONJ	26	mark
22	hace	VERB	26	advcl
23	unos	DET	24	det
24	meses	NOUN	22	obj
25	le	PRON	26	obj
26	quemaron	VERB	19	ccomp
27	su	DET	28	det
28	vehículo	NOUN	26	obj
29	y	CCONJ	32	cc
30	no	ADV	32	advmod
31	lo	PRON	32	obj
32	publicitó	VERB	19	conj
33	,	PUNCT	35	punct
34	y	CCONJ	35	cc
35	afirmó	VERB	19	conj
36	que	SCONJ	40	mark
37	"	PUNCT	40	punct
38	no	ADV	40	advmod
39	se	PRON	40	expl:impers
40	trata	VERB	35	ccomp
41	de	ADP	42	mark
42	hacer	VERB	40	xcomp
43	victimismo	NOUN	42	obj
44	sino	CCONJ	46	cc
45	de	ADP	46	mark
46	procurar	VERB	42	conj
47	,	PUNCT	49	punct
48	entre	ADP	49	case
49	todos	PRON	46	obl
50	,	PUNCT	49	punct
51	que	SCONJ	58	mark
52	hechos	NOUN	58	nsubj
53	de	ADP	55	case
54	esta	DET	55	det
55	naturaleza	NOUN	52	nmod
56	no	ADV	58	advmod
57	se	PRON	58	expl:pass
58	repitan	VERB	46	ccomp
59	"	PUNCT	40	punct
60	.	PUNCT	19	punct