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:
La investigación sigue abierta, por lo que no se descarta su participación en la desaparición de más vehículos, así como en otros hechos delictivos pendientes de esclarecer.
Postion	Tokenization
1	La
2	investigación
3	sigue
4	abierta
5	,
6	por
7	lo
8	que
9	no
10	se
11	descarta
12	su
13	participación
14	en
15	la
16	desaparición
17	de
18	más
19	vehículos
20	,
21	así
22	como
23	en
24	otros
25	hechos
26	delictivos
27	pendientes
28	de
29	esclarecer
30	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	investigación	NOUN	3	nsubj
3	sigue	VERB	0	root
4	abierta	ADJ	3	obj
5	,	PUNCT	11	punct
6	por	ADP	11	mark
7	lo	PRON	11	det
8	que	PRON	11	obl
9	no	ADV	11	advmod
10	se	PRON	11	expl:pass
11	descarta	VERB	3	advcl
12	su	DET	13	det
13	participación	NOUN	11	nsubj
14	en	ADP	16	case
15	la	DET	16	det
16	desaparición	NOUN	13	nmod
17	de	ADP	19	case
18	más	ADV	19	advmod
19	vehículos	NOUN	16	nmod
20	,	PUNCT	25	punct
21	así	ADV	25	cc
22	como	SCONJ	21	fixed
23	en	ADP	25	case
24	otros	DET	25	det
25	hechos	NOUN	16	conj
26	delictivos	ADJ	25	amod
27	pendientes	ADJ	25	amod
28	de	ADP	29	mark
29	esclarecer	VERB	27	acl
30	.	PUNCT	3	punct