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 vicepresidente económico, Rodrigo Rato, irritó al PSOE al responder a las preguntas sobre Gescartera y aseguró que se sentía acosado por la "cuota femenina" del primer partido de la oposición.
Postion	Tokenization
1	El
2	vicepresidente
3	económico
4	,
5	Rodrigo
6	Rato
7	,
8	irritó
9	al
10	PSOE
11	al
12	responder
13	a
14	las
15	preguntas
16	sobre
17	Gescartera
18	y
19	aseguró
20	que
21	se
22	sentía
23	acosado
24	por
25	la
26	"
27	cuota
28	femenina
29	"
30	del
31	primer
32	partido
33	de
34	la
35	oposición
36	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	vicepresidente	NOUN	8	nsubj
3	económico	ADJ	2	amod
4	,	PUNCT	5	punct
5	Rodrigo	PROPN	2	appos
6	Rato	PROPN	5	flat
7	,	PUNCT	5	punct
8	irritó	VERB	0	root
9	al	ADP	10	case
10	PSOE	PROPN	8	obj
11	al	ADP	12	mark
12	responder	VERB	8	advcl
13	a	ADP	15	case
14	las	DET	15	det
15	preguntas	NOUN	12	obj
16	sobre	ADP	17	case
17	Gescartera	PROPN	15	nmod
18	y	CCONJ	19	cc
19	aseguró	VERB	8	conj
20	que	SCONJ	22	mark
21	se	PRON	22	expl:pv
22	sentía	VERB	19	ccomp
23	acosado	ADJ	22	obj
24	por	ADP	27	case
25	la	DET	27	det
26	"	PUNCT	27	punct
27	cuota	NOUN	23	obl
28	femenina	ADJ	27	amod
29	"	PUNCT	27	punct
30	del	ADP	32	case
31	primer	ADJ	32	amod
32	partido	NOUN	27	nmod
33	de	ADP	35	case
34	la	DET	35	det
35	oposición	NOUN	32	nmod
36	.	PUNCT	8	punct