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 agentes buscan especialmente en la estructura del barco, ya que el capitán detenido ha reconocido que se han realizado obras en ella.
Postion	Tokenization
1	Los
2	agentes
3	buscan
4	especialmente
5	en
6	la
7	estructura
8	del
9	barco
10	,
11	ya
12	que
13	el
14	capitán
15	detenido
16	ha
17	reconocido
18	que
19	se
20	han
21	realizado
22	obras
23	en
24	ella
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	agentes	NOUN	3	nsubj
3	buscan	VERB	0	root
4	especialmente	ADV	3	advmod
5	en	ADP	4	case
6	la	DET	7	det
7	estructura	NOUN	4	nmod
8	del	ADP	9	case
9	barco	NOUN	7	nmod
10	,	PUNCT	17	punct
11	ya	ADV	17	mark
12	que	SCONJ	11	fixed
13	el	DET	14	det
14	capitán	NOUN	17	nsubj
15	detenido	ADJ	14	amod
16	ha	AUX	17	aux
17	reconocido	VERB	3	advcl
18	que	SCONJ	21	mark
19	se	PRON	21	expl:pass
20	han	AUX	21	aux
21	realizado	VERB	17	advcl
22	obras	NOUN	21	nsubj
23	en	ADP	24	case
24	ella	PRON	21	obl
25	.	PUNCT	3	punct