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:
Un submarinista ruso entró hoy por primera vez en el interior del "Kursk", hundido en el Artico el 12 de agosto pasado con 118 marinos a bordo, en busca de restos de los tripulantes, y halló tres cadáveres, que ya fueron extraídos a la superficie.
Postion	Tokenization
1	Un
2	submarinista
3	ruso
4	entró
5	hoy
6	por
7	primera
8	vez
9	en
10	el
11	interior
12	del
13	"
14	Kursk
15	"
16	,
17	hundido
18	en
19	el
20	Artico
21	el
22	12
23	de
24	agosto
25	pasado
26	con
27	118
28	marinos
29	a
30	bordo
31	,
32	en
33	busca
34	de
35	restos
36	de
37	los
38	tripulantes
39	,
40	y
41	halló
42	tres
43	cadáveres
44	,
45	que
46	ya
47	fueron
48	extraídos
49	a
50	la
51	superficie
52	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	submarinista	NOUN	4	nsubj
3	ruso	ADJ	2	amod
4	entró	VERB	0	root
5	hoy	ADV	4	advmod
6	por	ADP	8	case
7	primera	ADJ	8	amod
8	vez	NOUN	4	obl
9	en	ADP	11	case
10	el	DET	11	det
11	interior	NOUN	4	obl
12	del	ADP	14	case
13	"	PUNCT	14	punct
14	Kursk	PROPN	11	nmod
15	"	PUNCT	14	punct
16	,	PUNCT	17	punct
17	hundido	ADJ	14	amod
18	en	ADP	20	case
19	el	DET	20	det
20	Artico	PROPN	17	obl
21	el	DET	22	det
22	12	NUM	17	obl
23	de	ADP	24	case
24	agosto	NOUN	22	compound
25	pasado	ADJ	22	amod
26	con	ADP	28	case
27	118	NUM	28	nummod
28	marinos	NOUN	17	obl
29	a	ADP	28	advmod
30	bordo	NOUN	29	fixed
31	,	PUNCT	33	punct
32	en	ADP	33	case
33	busca	NOUN	4	obl
34	de	ADP	35	case
35	restos	NOUN	33	nmod
36	de	ADP	38	case
37	los	DET	38	det
38	tripulantes	NOUN	35	nmod
39	,	PUNCT	33	punct
40	y	CCONJ	41	cc
41	halló	VERB	4	conj
42	tres	NUM	43	nummod
43	cadáveres	NOUN	41	obj
44	,	PUNCT	48	punct
45	que	PRON	48	nsubj
46	ya	ADV	48	advmod
47	fueron	AUX	48	aux
48	extraídos	VERB	43	acl
49	a	ADP	51	case
50	la	DET	51	det
51	superficie	NOUN	48	obl
52	.	PUNCT	4	punct