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 más grave es Lilian Montoya Osorio, de 37 años y de nacionalidad colombiana, que fue operada de sus contusiones en el brazo, mano y pierna, según explicó la directora del centro de Valdepeñas.
Postion	Tokenization
1	La
2	más
3	grave
4	es
5	Lilian
6	Montoya
7	Osorio
8	,
9	de
10	37
11	años
12	y
13	de
14	nacionalidad
15	colombiana
16	,
17	que
18	fue
19	operada
20	de
21	sus
22	contusiones
23	en
24	el
25	brazo
26	,
27	mano
28	y
29	pierna
30	,
31	según
32	explicó
33	la
34	directora
35	del
36	centro
37	de
38	Valdepeñas
39	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	más	ADV	3	advmod
3	grave	ADJ	5	nsubj
4	es	AUX	5	cop
5	Lilian	PROPN	0	root
6	Montoya	PROPN	5	flat
7	Osorio	PROPN	5	flat
8	,	PUNCT	11	punct
9	de	ADP	11	case
10	37	NUM	11	nummod
11	años	NOUN	5	nmod
12	y	CCONJ	14	cc
13	de	ADP	14	case
14	nacionalidad	NOUN	11	conj
15	colombiana	ADJ	14	amod
16	,	PUNCT	11	punct
17	que	PRON	19	nsubj
18	fue	AUX	19	aux
19	operada	VERB	5	acl
20	de	ADP	22	case
21	sus	DET	22	det
22	contusiones	NOUN	19	obl
23	en	ADP	25	case
24	el	DET	25	det
25	brazo	NOUN	22	nmod
26	,	PUNCT	27	punct
27	mano	NOUN	25	appos
28	y	CCONJ	29	cc
29	pierna	NOUN	25	conj
30	,	PUNCT	32	punct
31	según	SCONJ	32	mark
32	explicó	VERB	5	advcl
33	la	DET	34	det
34	directora	NOUN	32	nsubj
35	del	ADP	36	case
36	centro	NOUN	34	nmod
37	de	ADP	38	case
38	Valdepeñas	PROPN	36	nmod
39	.	PUNCT	5	punct