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:
"Está agonizando, pero aún no está muerto. Su estado es muy grave", precisó la policía tras liberar a los rehenes.
Postion	Tokenization
1	"
2	Está
3	agonizando
4	,
5	pero
6	aún
7	no
8	está
9	muerto
10	.
11	Su
12	estado
13	es
14	muy
15	grave
16	"
17	,
18	precisó
19	la
20	policía
21	tras
22	liberar
23	a
24	los
25	rehenes
26	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Está	VERB	18	ccomp
3	agonizando	VERB	2	ccomp
4	,	PUNCT	9	punct
5	pero	CCONJ	9	cc
6	aún	ADV	9	advmod
7	no	ADV	9	advmod
8	está	AUX	9	cop
9	muerto	ADJ	2	conj
10	.	PUNCT	2	punct
11	Su	DET	12	det
12	estado	NOUN	15	nsubj
13	es	AUX	15	cop
14	muy	ADV	15	advmod
15	grave	ADJ	2	advcl
16	"	PUNCT	2	punct
17	,	PUNCT	2	punct
18	precisó	VERB	0	root
19	la	DET	20	det
20	policía	NOUN	18	nsubj
21	tras	ADP	22	mark
22	liberar	VERB	18	advcl
23	a	ADP	25	case
24	los	DET	25	det
25	rehenes	NOUN	22	obj
26	.	PUNCT	18	punct