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:
Existe en España un contraste entre un discurso que considera retóricamente la familia como el centro de nuestra sociedad y la gran escasez de iniciativas gubernamentales en favor de la misma.
Postion	Tokenization
1	Existe
2	en
3	España
4	un
5	contraste
6	entre
7	un
8	discurso
9	que
10	considera
11	retóricamente
12	la
13	familia
14	como
15	el
16	centro
17	de
18	nuestra
19	sociedad
20	y
21	la
22	gran
23	escasez
24	de
25	iniciativas
26	gubernamentales
27	en
28	favor
29	de
30	la
31	misma
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Existe	VERB	0	root
2	en	ADP	3	case
3	España	PROPN	1	obl
4	un	DET	5	det
5	contraste	NOUN	1	nsubj
6	entre	ADP	8	case
7	un	DET	8	det
8	discurso	NOUN	5	nmod
9	que	PRON	10	nsubj
10	considera	VERB	8	acl
11	retóricamente	ADV	10	advmod
12	la	DET	13	det
13	familia	NOUN	10	obj
14	como	SCONJ	16	mark
15	el	DET	16	det
16	centro	NOUN	10	obj
17	de	ADP	19	case
18	nuestra	DET	19	det
19	sociedad	NOUN	16	nmod
20	y	CCONJ	23	cc
21	la	DET	23	det
22	gran	ADJ	23	amod
23	escasez	NOUN	8	conj
24	de	ADP	25	case
25	iniciativas	NOUN	23	nmod
26	gubernamentales	ADJ	25	amod
27	en	ADP	31	case
28	favor	NOUN	27	fixed
29	de	ADP	27	fixed
30	la	DET	31	det
31	misma	PRON	25	nmod
32	.	PUNCT	1	punct