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:
Reivindicar al Bowie camaleónico y elegante, a los Beatles más pomposos y servir la mezcla con traje orquestal de John Barry o Ennio Morricone ni suena a penúltima revolución.
Postion	Tokenization
1	Reivindicar
2	al
3	Bowie
4	camaleónico
5	y
6	elegante
7	,
8	a
9	los
10	Beatles
11	más
12	pomposos
13	y
14	servir
15	la
16	mezcla
17	con
18	traje
19	orquestal
20	de
21	John
22	Barry
23	o
24	Ennio
25	Morricone
26	ni
27	suena
28	a
29	penúltima
30	revolución
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Reivindicar	VERB	27	csubj
2	al	ADP	3	case
3	Bowie	PROPN	1	obj
4	camaleónico	ADJ	3	amod
5	y	CCONJ	6	cc
6	elegante	ADJ	4	conj
7	,	PUNCT	10	punct
8	a	ADP	10	case
9	los	DET	10	det
10	Beatles	PROPN	3	conj
11	más	ADV	12	advmod
12	pomposos	ADJ	10	amod
13	y	CCONJ	14	cc
14	servir	VERB	1	conj
15	la	DET	16	det
16	mezcla	NOUN	14	obj
17	con	ADP	18	case
18	traje	NOUN	14	obl
19	orquestal	ADJ	18	amod
20	de	ADP	21	case
21	John	PROPN	18	nmod
22	Barry	PROPN	21	flat
23	o	CCONJ	24	cc
24	Ennio	PROPN	21	conj
25	Morricone	PROPN	24	flat
26	ni	ADV	27	advmod
27	suena	VERB	0	root
28	a	ADP	30	case
29	penúltima	ADJ	30	amod
30	revolución	NOUN	27	obj
31	.	PUNCT	27	punct