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:
Una corriente de opinión se impone entre el gremio del show business: un actor que se precie debe debutar en los escenarios del West End de Londres.
Postion	Tokenization
1	Una
2	corriente
3	de
4	opinión
5	se
6	impone
7	entre
8	el
9	gremio
10	del
11	show
12	business
13	:
14	un
15	actor
16	que
17	se
18	precie
19	debe
20	debutar
21	en
22	los
23	escenarios
24	del
25	West
26	End
27	de
28	Londres
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	DET	2	det
2	corriente	NOUN	6	nsubj
3	de	ADP	4	case
4	opinión	NOUN	2	nmod
5	se	PRON	6	expl:pv
6	impone	VERB	0	root
7	entre	ADP	9	case
8	el	DET	9	det
9	gremio	NOUN	6	obl
10	del	ADP	11	case
11	show	NOUN	9	nmod
12	business	NOUN	11	compound
13	:	PUNCT	20	punct
14	un	DET	15	det
15	actor	NOUN	20	nsubj
16	que	PRON	18	nsubj
17	se	PRON	18	obj
18	precie	VERB	15	acl
19	debe	AUX	20	aux
20	debutar	VERB	6	advcl
21	en	ADP	23	case
22	los	DET	23	det
23	escenarios	NOUN	20	obl
24	del	ADP	25	case
25	West	PROPN	23	nmod
26	End	PROPN	25	flat
27	de	ADP	28	case
28	Londres	PROPN	23	nmod
29	.	PUNCT	6	punct