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 segundo y ministro de Economía, Rodrigo Rato, considera que el PSOE incurre en "cinismo" al criticar la actual política de liberalización de sectores públicos ya que "antes se hacían los núcleos duros de compañías como Repsol y Telefónica almorzando en La Moncloa".
Postion	Tokenization
1	El
2	vicepresidente
3	segundo
4	y
5	ministro
6	de
7	Economía
8	,
9	Rodrigo
10	Rato
11	,
12	considera
13	que
14	el
15	PSOE
16	incurre
17	en
18	"
19	cinismo
20	"
21	al
22	criticar
23	la
24	actual
25	política
26	de
27	liberalización
28	de
29	sectores
30	públicos
31	ya
32	que
33	"
34	antes
35	se
36	hacían
37	los
38	núcleos
39	duros
40	de
41	compañías
42	como
43	Repsol
44	y
45	Telefónica
46	almorzando
47	en
48	La
49	Moncloa
50	"
51	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	vicepresidente	NOUN	12	nsubj
3	segundo	ADJ	2	amod
4	y	CCONJ	5	cc
5	ministro	NOUN	2	conj
6	de	ADP	7	case
7	Economía	PROPN	5	nmod
8	,	PUNCT	9	punct
9	Rodrigo	PROPN	2	appos
10	Rato	PROPN	9	flat
11	,	PUNCT	9	punct
12	considera	VERB	0	root
13	que	SCONJ	16	mark
14	el	DET	15	det
15	PSOE	PROPN	16	nsubj
16	incurre	VERB	12	ccomp
17	en	ADP	19	case
18	"	PUNCT	19	punct
19	cinismo	NOUN	16	obj
20	"	PUNCT	19	punct
21	al	ADP	22	mark
22	criticar	VERB	16	advcl
23	la	DET	25	det
24	actual	ADJ	25	amod
25	política	NOUN	22	obj
26	de	ADP	27	case
27	liberalización	NOUN	25	nmod
28	de	ADP	29	case
29	sectores	NOUN	27	nmod
30	públicos	ADJ	29	amod
31	ya	ADV	36	mark
32	que	SCONJ	31	fixed
33	"	PUNCT	36	punct
34	antes	ADV	36	advmod
35	se	PRON	36	expl:pass
36	hacían	VERB	16	advcl
37	los	DET	38	det
38	núcleos	NOUN	36	nsubj
39	duros	ADJ	38	amod
40	de	ADP	41	case
41	compañías	NOUN	38	nmod
42	como	SCONJ	43	mark
43	Repsol	PROPN	41	nmod
44	y	CCONJ	45	cc
45	Telefónica	PROPN	43	conj
46	almorzando	VERB	36	advcl
47	en	ADP	49	case
48	La	DET	49	det
49	Moncloa	PROPN	46	obl
50	"	PUNCT	36	punct
51	.	PUNCT	12	punct