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:
Los buzos ocupados en el rescate de los marinos muertos en el naufragado submarino nuclear "Kursk" rescataron hoy los primeros tres cadáveres de tripulantes, informó la Armada rusa.
Postion	Tokenization
1	Los
2	buzos
3	ocupados
4	en
5	el
6	rescate
7	de
8	los
9	marinos
10	muertos
11	en
12	el
13	naufragado
14	submarino
15	nuclear
16	"
17	Kursk
18	"
19	rescataron
20	hoy
21	los
22	primeros
23	tres
24	cadáveres
25	de
26	tripulantes
27	,
28	informó
29	la
30	Armada
31	rusa
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	buzos	NOUN	19	nsubj
3	ocupados	ADJ	2	amod
4	en	ADP	6	case
5	el	DET	6	det
6	rescate	NOUN	3	obl
7	de	ADP	9	case
8	los	DET	9	det
9	marinos	NOUN	6	nmod
10	muertos	ADJ	9	amod
11	en	ADP	14	case
12	el	DET	14	det
13	naufragado	ADJ	14	amod
14	submarino	NOUN	10	obl
15	nuclear	ADJ	14	amod
16	"	PUNCT	17	punct
17	Kursk	PROPN	14	appos
18	"	PUNCT	17	punct
19	rescataron	VERB	28	ccomp
20	hoy	ADV	19	advmod
21	los	DET	24	det
22	primeros	ADJ	21	amod
23	tres	NUM	21	nummod
24	cadáveres	NOUN	19	obj
25	de	ADP	26	case
26	tripulantes	NOUN	24	nmod
27	,	PUNCT	19	punct
28	informó	VERB	0	root
29	la	DET	30	det
30	Armada	PROPN	28	nsubj
31	rusa	ADJ	30	amod
32	.	PUNCT	28	punct