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:
Rato afirma en la entrevista que el Gobierno introducirá modificaciones en la política de vivienda para fomentar la movilidad geográfica y que "hemos bajado las cotizaciones sociales lo que hemos podido".
Postion	Tokenization
1	Rato
2	afirma
3	en
4	la
5	entrevista
6	que
7	el
8	Gobierno
9	introducirá
10	modificaciones
11	en
12	la
13	política
14	de
15	vivienda
16	para
17	fomentar
18	la
19	movilidad
20	geográfica
21	y
22	que
23	"
24	hemos
25	bajado
26	las
27	cotizaciones
28	sociales
29	lo
30	que
31	hemos
32	podido
33	"
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Rato	PROPN	2	nsubj
2	afirma	VERB	0	root
3	en	ADP	5	case
4	la	DET	5	det
5	entrevista	NOUN	2	obl
6	que	SCONJ	9	mark
7	el	DET	8	det
8	Gobierno	PROPN	9	nsubj
9	introducirá	VERB	2	ccomp
10	modificaciones	NOUN	9	obj
11	en	ADP	13	case
12	la	DET	13	det
13	política	NOUN	10	nmod
14	de	ADP	15	case
15	vivienda	NOUN	13	nmod
16	para	ADP	17	mark
17	fomentar	VERB	10	acl
18	la	DET	19	det
19	movilidad	NOUN	17	obj
20	geográfica	ADJ	19	amod
21	y	CCONJ	25	cc
22	que	SCONJ	25	mark
23	"	PUNCT	25	punct
24	hemos	AUX	25	aux
25	bajado	VERB	9	conj
26	las	DET	27	det
27	cotizaciones	NOUN	25	obj
28	sociales	ADJ	27	amod
29	lo	PRON	32	det
30	que	PRON	32	obj
31	hemos	AUX	32	aux
32	podido	VERB	25	advcl
33	"	PUNCT	25	punct
34	.	PUNCT	2	punct