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 presidente del PP se manifestó dispuesto a trasladar al Parlament las demandas de UGT en materia de siniestralidad laboral, oportunidades laborales para las mujeres y apoyo a las personas con discapacidades.
Postion	Tokenization
1	El
2	presidente
3	del
4	PP
5	se
6	manifestó
7	dispuesto
8	a
9	trasladar
10	al
11	Parlament
12	las
13	demandas
14	de
15	UGT
16	en
17	materia
18	de
19	siniestralidad
20	laboral
21	,
22	oportunidades
23	laborales
24	para
25	las
26	mujeres
27	y
28	apoyo
29	a
30	las
31	personas
32	con
33	discapacidades
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	6	nsubj
3	del	ADP	4	case
4	PP	PROPN	2	nmod
5	se	PRON	6	expl:pv
6	manifestó	VERB	0	root
7	dispuesto	ADJ	6	obj
8	a	ADP	9	mark
9	trasladar	VERB	7	xcomp
10	al	ADP	11	case
11	Parlament	PROPN	9	obj
12	las	DET	13	det
13	demandas	NOUN	9	obj
14	de	ADP	15	case
15	UGT	PROPN	13	nmod
16	en	ADP	19	case
17	materia	NOUN	16	fixed
18	de	ADP	16	fixed
19	siniestralidad	NOUN	13	nmod
20	laboral	ADJ	19	amod
21	,	PUNCT	22	punct
22	oportunidades	NOUN	19	conj
23	laborales	ADJ	22	amod
24	para	ADP	26	case
25	las	DET	26	det
26	mujeres	NOUN	22	nmod
27	y	CCONJ	28	cc
28	apoyo	NOUN	19	conj
29	a	ADP	31	case
30	las	DET	31	det
31	personas	NOUN	28	nmod
32	con	ADP	33	case
33	discapacidades	NOUN	31	nmod
34	.	PUNCT	6	punct