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:
En la pantalla, unos muchachos de pelo tieso, como recién salidos de un susto, se contorsionaban y chillaban lo mismo que si sufrieran un telele.
Postion	Tokenization
1	En
2	la
3	pantalla
4	,
5	unos
6	muchachos
7	de
8	pelo
9	tieso
10	,
11	como
12	recién
13	salidos
14	de
15	un
16	susto
17	,
18	se
19	contorsionaban
20	y
21	chillaban
22	lo
23	mismo
24	que
25	si
26	sufrieran
27	un
28	telele
29	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	pantalla	NOUN	19	obl
4	,	PUNCT	3	punct
5	unos	DET	6	det
6	muchachos	NOUN	19	nsubj
7	de	ADP	8	case
8	pelo	NOUN	6	nmod
9	tieso	ADJ	8	amod
10	,	PUNCT	11	punct
11	como	ADP	6	nmod
12	recién	ADV	13	advmod
13	salidos	ADJ	11	advmod
14	de	ADP	16	case
15	un	DET	16	det
16	susto	NOUN	13	obl
17	,	PUNCT	11	punct
18	se	PRON	19	expl:pv
19	contorsionaban	VERB	0	root
20	y	CCONJ	21	cc
21	chillaban	VERB	19	conj
22	lo	PRON	21	advmod
23	mismo	ADJ	22	fixed
24	que	SCONJ	26	mark
25	si	SCONJ	26	mark
26	sufrieran	VERB	22	advcl
27	un	DET	28	det
28	telele	NOUN	26	obj
29	.	PUNCT	19	punct