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:
Unos eran retirados para que fuesen aplaudidos por el público, caso de Sala, y otros entraron para jugar sus últimos minutos con la camiseta blanca, caso del serbio Vanic.
Postion	Tokenization
1	Unos
2	eran
3	retirados
4	para
5	que
6	fuesen
7	aplaudidos
8	por
9	el
10	público
11	,
12	caso
13	de
14	Sala
15	,
16	y
17	otros
18	entraron
19	para
20	jugar
21	sus
22	últimos
23	minutos
24	con
25	la
26	camiseta
27	blanca
28	,
29	caso
30	del
31	serbio
32	Vanic
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Unos	PRON	3	nsubj
2	eran	AUX	3	aux
3	retirados	VERB	0	root
4	para	ADP	7	mark
5	que	SCONJ	7	mark
6	fuesen	AUX	7	aux
7	aplaudidos	VERB	3	advcl
8	por	ADP	10	case
9	el	DET	10	det
10	público	NOUN	7	obj
11	,	PUNCT	12	punct
12	caso	NOUN	3	obl
13	de	ADP	14	case
14	Sala	PROPN	12	nmod
15	,	PUNCT	12	punct
16	y	CCONJ	18	cc
17	otros	PRON	18	nsubj
18	entraron	VERB	3	conj
19	para	ADP	20	mark
20	jugar	VERB	18	advcl
21	sus	DET	23	det
22	últimos	ADJ	23	amod
23	minutos	NOUN	20	obj
24	con	ADP	26	case
25	la	DET	26	det
26	camiseta	NOUN	23	nmod
27	blanca	ADJ	26	amod
28	,	PUNCT	29	punct
29	caso	NOUN	18	obl
30	del	ADP	31	case
31	serbio	NOUN	29	nmod
32	Vanic	PROPN	31	appos
33	.	PUNCT	3	punct