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:
Disfruto viendo a personas y filmes que me hacen reír, pero querer ser siempre gracioso supone una presión terrible sobre uno mismo.
Postion	Tokenization
1	Disfruto
2	viendo
3	a
4	personas
5	y
6	filmes
7	que
8	me
9	hacen
10	reír
11	,
12	pero
13	querer
14	ser
15	siempre
16	gracioso
17	supone
18	una
19	presión
20	terrible
21	sobre
22	uno
23	mismo
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Disfruto	VERB	0	root
2	viendo	VERB	1	advcl
3	a	ADP	4	case
4	personas	NOUN	2	obj
5	y	CCONJ	6	cc
6	filmes	NOUN	4	conj
7	que	PRON	9	nsubj
8	me	PRON	9	iobj
9	hacen	VERB	4	acl
10	reír	VERB	9	xcomp
11	,	PUNCT	17	punct
12	pero	CCONJ	17	cc
13	querer	AUX	16	aux
14	ser	AUX	16	cop
15	siempre	ADV	16	advmod
16	gracioso	ADJ	17	csubj
17	supone	VERB	1	conj
18	una	DET	19	det
19	presión	NOUN	17	obj
20	terrible	ADJ	19	amod
21	sobre	ADP	22	case
22	uno	PRON	19	nmod
23	mismo	ADJ	22	amod
24	.	PUNCT	1	punct