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 vecinos confirmaron que el hijo mayor, de 17 años y que estudiaba en el instituto Mariano Vaquero, practicaba desde hacía cinco años artes marciales.
Postion	Tokenization
1	Los
2	vecinos
3	confirmaron
4	que
5	el
6	hijo
7	mayor
8	,
9	de
10	17
11	años
12	y
13	que
14	estudiaba
15	en
16	el
17	instituto
18	Mariano
19	Vaquero
20	,
21	practicaba
22	desde
23	hacía
24	cinco
25	años
26	artes
27	marciales
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	vecinos	NOUN	3	nsubj
3	confirmaron	VERB	0	root
4	que	SCONJ	21	mark
5	el	DET	6	det
6	hijo	NOUN	21	nsubj
7	mayor	ADJ	6	amod
8	,	PUNCT	11	punct
9	de	ADP	11	case
10	17	NUM	11	nummod
11	años	NOUN	6	nmod
12	y	CCONJ	14	cc
13	que	PRON	14	nsubj
14	estudiaba	VERB	11	conj
15	en	ADP	17	case
16	el	DET	17	det
17	instituto	NOUN	14	obl
18	Mariano	PROPN	17	appos
19	Vaquero	PROPN	18	flat
20	,	PUNCT	11	punct
21	practicaba	VERB	3	ccomp
22	desde	ADP	23	case
23	hacía	VERB	21	advcl
24	cinco	NUM	25	nummod
25	años	NOUN	23	obj
26	artes	NOUN	21	obj
27	marciales	NOUN	26	compound
28	.	PUNCT	3	punct