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:
De acuerdo con los registros de sismógrafos noruegos, hubo dos explosiones consecutivas a bordo del "Kursk" que lo echaron a pique tras causar graves destrozos en su proa.
Postion	Tokenization
1	De
2	acuerdo
3	con
4	los
5	registros
6	de
7	sismógrafos
8	noruegos
9	,
10	hubo
11	dos
12	explosiones
13	consecutivas
14	a
15	bordo
16	del
17	"
18	Kursk
19	"
20	que
21	lo
22	echaron
23	a
24	pique
25	tras
26	causar
27	graves
28	destrozos
29	en
30	su
31	proa
32	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	5	case
2	acuerdo	NOUN	1	fixed
3	con	ADP	1	fixed
4	los	DET	5	det
5	registros	NOUN	10	obl
6	de	ADP	7	case
7	sismógrafos	NOUN	5	nmod
8	noruegos	ADJ	7	amod
9	,	PUNCT	5	punct
10	hubo	AUX	0	root
11	dos	NUM	12	nummod
12	explosiones	NOUN	10	obj
13	consecutivas	ADJ	12	amod
14	a	ADP	10	advmod
15	bordo	NOUN	14	fixed
16	del	ADP	18	case
17	"	PUNCT	18	punct
18	Kursk	PROPN	14	obl
19	"	PUNCT	18	punct
20	que	PRON	22	nsubj
21	lo	PRON	22	obj
22	echaron	VERB	18	acl
23	a	ADP	22	advmod
24	pique	NOUN	23	fixed
25	tras	ADP	26	mark
26	causar	VERB	22	advcl
27	graves	ADJ	28	amod
28	destrozos	NOUN	26	obj
29	en	ADP	31	case
30	su	DET	31	det
31	proa	NOUN	26	obl
32	.	PUNCT	10	punct