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:
El comandante de la Armada rusa, almirante Vladímir Kuroyédov, se mostró contrario a la operación de rescate de los cadáveres y abogó más bien por el intento de izar el "Kursk" entero.
Postion	Tokenization
1	El
2	comandante
3	de
4	la
5	Armada
6	rusa
7	,
8	almirante
9	Vladímir
10	Kuroyédov
11	,
12	se
13	mostró
14	contrario
15	a
16	la
17	operación
18	de
19	rescate
20	de
21	los
22	cadáveres
23	y
24	abogó
25	más
26	bien
27	por
28	el
29	intento
30	de
31	izar
32	el
33	"
34	Kursk
35	"
36	entero
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	comandante	NOUN	13	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	Armada	PROPN	2	nmod
6	rusa	ADJ	5	amod
7	,	PUNCT	8	punct
8	almirante	NOUN	2	appos
9	Vladímir	PROPN	8	appos
10	Kuroyédov	PROPN	9	flat
11	,	PUNCT	8	punct
12	se	PRON	13	expl:pv
13	mostró	VERB	0	root
14	contrario	ADJ	13	obj
15	a	ADP	17	case
16	la	DET	17	det
17	operación	NOUN	14	nmod
18	de	ADP	19	case
19	rescate	NOUN	17	nmod
20	de	ADP	22	case
21	los	DET	22	det
22	cadáveres	NOUN	19	nmod
23	y	CCONJ	24	cc
24	abogó	VERB	13	conj
25	más	ADV	24	advmod
26	bien	ADV	25	fixed
27	por	ADP	29	case
28	el	DET	29	det
29	intento	NOUN	24	obj
30	de	ADP	31	mark
31	izar	VERB	29	acl
32	el	DET	34	det
33	"	PUNCT	34	punct
34	Kursk	PROPN	31	obj
35	"	PUNCT	34	punct
36	entero	ADJ	34	amod
37	.	PUNCT	13	punct