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 presidencia española, que ayer sólo tuvo que hacer frente a las protestas de una treintena de miembros de un sindicato del Cuerpo Nacional de Policía que reclamaba mejoras salariales, se estrena también con una apuesta por las patentes comunitarias y nuevas mejoras para proteger las marcas "ante las nuevas circunstancias" derivadas de Internet.
Postion	Tokenization
1	La
2	presidencia
3	española
4	,
5	que
6	ayer
7	sólo
8	tuvo
9	que
10	hacer
11	frente
12	a
13	las
14	protestas
15	de
16	una
17	treintena
18	de
19	miembros
20	de
21	un
22	sindicato
23	del
24	Cuerpo
25	Nacional
26	de
27	Policía
28	que
29	reclamaba
30	mejoras
31	salariales
32	,
33	se
34	estrena
35	también
36	con
37	una
38	apuesta
39	por
40	las
41	patentes
42	comunitarias
43	y
44	nuevas
45	mejoras
46	para
47	proteger
48	las
49	marcas
50	"
51	ante
52	las
53	nuevas
54	circunstancias
55	"
56	derivadas
57	de
58	Internet
59	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	presidencia	NOUN	34	nsubj
3	española	ADJ	2	amod
4	,	PUNCT	8	punct
5	que	PRON	10	nsubj
6	ayer	ADV	10	advmod
7	sólo	ADV	10	advmod
8	tuvo	VERB	2	acl
9	que	SCONJ	10	cc
10	hacer	VERB	8	conj
11	frente	NOUN	10	compound
12	a	ADP	14	case
13	las	DET	14	det
14	protestas	NOUN	10	obj
15	de	ADP	19	case
16	una	DET	17	det
17	treintena	NOUN	19	nmod
18	de	ADP	17	case
19	miembros	NOUN	14	nmod
20	de	ADP	22	case
21	un	DET	22	det
22	sindicato	NOUN	19	nmod
23	del	ADP	24	case
24	Cuerpo	PROPN	22	nmod
25	Nacional	PROPN	24	flat
26	de	ADP	27	case
27	Policía	PROPN	24	flat
28	que	PRON	29	nsubj
29	reclamaba	VERB	22	acl
30	mejoras	NOUN	29	obj
31	salariales	ADJ	30	amod
32	,	PUNCT	8	punct
33	se	PRON	34	expl:pass
34	estrena	VERB	0	root
35	también	ADV	34	advmod
36	con	ADP	38	case
37	una	DET	38	det
38	apuesta	NOUN	34	obl
39	por	ADP	41	case
40	las	DET	41	det
41	patentes	NOUN	38	nmod
42	comunitarias	ADJ	41	amod
43	y	CCONJ	45	cc
44	nuevas	ADJ	45	amod
45	mejoras	NOUN	41	conj
46	para	ADP	47	mark
47	proteger	VERB	38	acl
48	las	DET	49	det
49	marcas	NOUN	47	obj
50	"	PUNCT	54	punct
51	ante	ADP	54	case
52	las	DET	54	det
53	nuevas	ADJ	54	amod
54	circunstancias	NOUN	47	obl
55	"	PUNCT	56	punct
56	derivadas	ADJ	54	amod
57	de	ADP	58	case
58	Internet	PROPN	56	obj
59	.	PUNCT	34	punct