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:
Amonestó a los locales Rokki, Corona, Ortega y Melgar, y a los visitantes Otero, Hugo, Parrado y Lucas, este mientras calentaba en la banda.
Postion	Tokenization
1	Amonestó
2	a
3	los
4	locales
5	Rokki
6	,
7	Corona
8	,
9	Ortega
10	y
11	Melgar
12	,
13	y
14	a
15	los
16	visitantes
17	Otero
18	,
19	Hugo
20	,
21	Parrado
22	y
23	Lucas
24	,
25	este
26	mientras
27	calentaba
28	en
29	la
30	banda
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Amonestó	VERB	0	root
2	a	ADP	4	case
3	los	DET	4	det
4	locales	ADJ	1	obj
5	Rokki	PROPN	4	obj
6	,	PUNCT	7	punct
7	Corona	PROPN	5	conj
8	,	PUNCT	9	punct
9	Ortega	PROPN	5	conj
10	y	CCONJ	11	cc
11	Melgar	PROPN	5	conj
12	,	PUNCT	16	punct
13	y	CCONJ	16	cc
14	a	ADP	16	case
15	los	DET	16	det
16	visitantes	NOUN	4	conj
17	Otero	PROPN	16	appos
18	,	PUNCT	19	punct
19	Hugo	PROPN	17	conj
20	,	PUNCT	21	punct
21	Parrado	PROPN	17	conj
22	y	CCONJ	23	cc
23	Lucas	PROPN	17	conj
24	,	PUNCT	27	punct
25	este	PRON	27	obj
26	mientras	SCONJ	27	mark
27	calentaba	VERB	23	acl
28	en	ADP	30	case
29	la	DET	30	det
30	banda	NOUN	27	obl
31	.	PUNCT	1	punct