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:
La anorexia y la bulimia se han convertido en una doble epidemia silenciosa que se ceba especialmente en jóvenes prisioneras del modelo social que prima la delgadez del cuerpo.
Postion	Tokenization
1	La
2	anorexia
3	y
4	la
5	bulimia
6	se
7	han
8	convertido
9	en
10	una
11	doble
12	epidemia
13	silenciosa
14	que
15	se
16	ceba
17	especialmente
18	en
19	jóvenes
20	prisioneras
21	del
22	modelo
23	social
24	que
25	prima
26	la
27	delgadez
28	del
29	cuerpo
30	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	anorexia	NOUN	8	nsubj
3	y	CCONJ	5	cc
4	la	DET	5	det
5	bulimia	NOUN	2	conj
6	se	PRON	8	expl:pv
7	han	AUX	8	aux
8	convertido	VERB	0	root
9	en	ADP	12	case
10	una	DET	12	det
11	doble	ADJ	12	amod
12	epidemia	NOUN	8	obj
13	silenciosa	ADJ	12	amod
14	que	PRON	16	nsubj
15	se	PRON	16	expl:pv
16	ceba	VERB	12	acl
17	especialmente	ADV	16	advmod
18	en	ADP	20	case
19	jóvenes	ADJ	20	amod
20	prisioneras	NOUN	16	obj
21	del	ADP	22	case
22	modelo	NOUN	20	nmod
23	social	ADJ	22	amod
24	que	PRON	25	nsubj
25	prima	VERB	22	acl
26	la	DET	27	det
27	delgadez	NOUN	25	obj
28	del	ADP	29	case
29	cuerpo	NOUN	27	nmod
30	.	PUNCT	8	punct