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:
Bajo ese reclamo intervendrán la formación de big beat Bentley Rhythm Ace y los pioneros del tecno-pop español Aviador Dro, así como John Landis Fans y Dj Cosmos.
Postion	Tokenization
1	Bajo
2	ese
3	reclamo
4	intervendrán
5	la
6	formación
7	de
8	big
9	beat
10	Bentley
11	Rhythm
12	Ace
13	y
14	los
15	pioneros
16	del
17	tecno-pop
18	español
19	Aviador
20	Dro
21	,
22	así
23	como
24	John
25	Landis
26	Fans
27	y
28	Dj
29	Cosmos
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Bajo	ADP	3	case
2	ese	DET	3	det
3	reclamo	NOUN	4	obl
4	intervendrán	VERB	0	root
5	la	DET	6	det
6	formación	NOUN	4	nsubj
7	de	ADP	8	case
8	big	NOUN	6	nmod
9	beat	NOUN	8	compound
10	Bentley	PROPN	6	appos
11	Rhythm	PROPN	10	flat
12	Ace	PROPN	10	flat
13	y	CCONJ	15	cc
14	los	DET	15	det
15	pioneros	NOUN	6	conj
16	del	ADP	17	case
17	tecno-pop	NOUN	15	nmod
18	español	ADJ	17	amod
19	Aviador	PROPN	15	appos
20	Dro	PROPN	19	flat
21	,	PUNCT	24	punct
22	así	ADV	24	cc
23	como	SCONJ	22	fixed
24	John	PROPN	6	conj
25	Landis	PROPN	24	flat
26	Fans	PROPN	24	flat
27	y	CCONJ	28	cc
28	Dj	PROPN	24	conj
29	Cosmos	PROPN	28	flat
30	.	PUNCT	4	punct