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:
Siete marinos, entre ellos tres daguestaníes cuya región es vecina de Chechenia, estaban en ese compartimento, destinado a alojar los torpedos del "Kursk".
Postion	Tokenization
1	Siete
2	marinos
3	,
4	entre
5	ellos
6	tres
7	daguestaníes
8	cuya
9	región
10	es
11	vecina
12	de
13	Chechenia
14	,
15	estaban
16	en
17	ese
18	compartimento
19	,
20	destinado
21	a
22	alojar
23	los
24	torpedos
25	del
26	"
27	Kursk
28	"
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Siete	NUM	2	nummod
2	marinos	NOUN	15	nsubj
3	,	PUNCT	5	punct
4	entre	ADP	5	case
5	ellos	PRON	2	nmod
6	tres	NUM	7	nummod
7	daguestaníes	NOUN	5	nmod
8	cuya	PRON	9	nmod
9	región	NOUN	11	nsubj
10	es	AUX	11	cop
11	vecina	NOUN	7	acl
12	de	ADP	13	case
13	Chechenia	PROPN	11	nmod
14	,	PUNCT	5	punct
15	estaban	VERB	0	root
16	en	ADP	18	case
17	ese	DET	18	det
18	compartimento	NOUN	15	obl
19	,	PUNCT	20	punct
20	destinado	ADJ	18	amod
21	a	ADP	22	mark
22	alojar	VERB	20	xcomp
23	los	DET	24	det
24	torpedos	NOUN	22	obj
25	del	ADP	27	case
26	"	PUNCT	27	punct
27	Kursk	PROPN	24	nmod
28	"	PUNCT	27	punct
29	.	PUNCT	15	punct