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:
El Hollywood clásico quería que sus actores se volvieran estrellas y que su leyenda (blanca o negra) sustituyese al medidor de categoría artística.
Postion	Tokenization
1	El
2	Hollywood
3	clásico
4	quería
5	que
6	sus
7	actores
8	se
9	volvieran
10	estrellas
11	y
12	que
13	su
14	leyenda
15	(
16	blanca
17	o
18	negra
19	)
20	sustituyese
21	al
22	medidor
23	de
24	categoría
25	artística
26	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Hollywood	PROPN	4	nsubj
3	clásico	ADJ	2	amod
4	quería	VERB	0	root
5	que	SCONJ	9	mark
6	sus	DET	7	det
7	actores	NOUN	9	nsubj
8	se	PRON	9	expl:pv
9	volvieran	VERB	4	ccomp
10	estrellas	NOUN	9	obl
11	y	CCONJ	20	cc
12	que	SCONJ	20	mark
13	su	DET	14	det
14	leyenda	NOUN	20	nsubj
15	(	PUNCT	16	punct
16	blanca	ADJ	14	amod
17	o	CCONJ	18	cc
18	negra	ADJ	16	conj
19	)	PUNCT	16	punct
20	sustituyese	VERB	9	conj
21	al	ADP	22	case
22	medidor	NOUN	20	obj
23	de	ADP	24	case
24	categoría	NOUN	22	nmod
25	artística	ADJ	24	amod
26	.	PUNCT	4	punct