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:
Fuentes del Hospital La Paz, cuyo jefe es Carlos Villasante, indicaron que hasta hoy no podían dar información sobre el caso.
Postion	Tokenization
1	Fuentes
2	del
3	Hospital
4	La
5	Paz
6	,
7	cuyo
8	jefe
9	es
10	Carlos
11	Villasante
12	,
13	indicaron
14	que
15	hasta
16	hoy
17	no
18	podían
19	dar
20	información
21	sobre
22	el
23	caso
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Fuentes	NOUN	13	nsubj
2	del	ADP	3	case
3	Hospital	PROPN	1	nmod
4	La	DET	5	det
5	Paz	PROPN	3	flat
6	,	PUNCT	10	punct
7	cuyo	PRON	8	nmod
8	jefe	NOUN	10	nsubj
9	es	AUX	10	cop
10	Carlos	PROPN	1	acl
11	Villasante	PROPN	10	flat
12	,	PUNCT	10	punct
13	indicaron	VERB	0	root
14	que	SCONJ	19	mark
15	hasta	ADP	16	case
16	hoy	ADV	19	advmod
17	no	ADV	19	advmod
18	podían	AUX	19	aux
19	dar	VERB	13	xcomp
20	información	NOUN	19	obj
21	sobre	ADP	23	case
22	el	DET	23	det
23	caso	NOUN	20	nmod
24	.	PUNCT	13	punct