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:
La risa es más circunstanciada y puntual que el miedo o la compasión; la sensibilidad que vibra con lo cómico ha evolucionado más que la que padece ante lo dramático.
Postion	Tokenization
1	La
2	risa
3	es
4	más
5	circunstanciada
6	y
7	puntual
8	que
9	el
10	miedo
11	o
12	la
13	compasión
14	;
15	la
16	sensibilidad
17	que
18	vibra
19	con
20	lo
21	cómico
22	ha
23	evolucionado
24	más
25	que
26	la
27	que
28	padece
29	ante
30	lo
31	dramático
32	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	risa	NOUN	5	nsubj
3	es	AUX	5	cop
4	más	ADV	5	advmod
5	circunstanciada	ADJ	0	root
6	y	CCONJ	7	cc
7	puntual	ADJ	5	conj
8	que	SCONJ	10	mark
9	el	DET	10	det
10	miedo	NOUN	5	obl
11	o	CCONJ	13	cc
12	la	DET	13	det
13	compasión	NOUN	10	conj
14	;	PUNCT	5	punct
15	la	DET	16	det
16	sensibilidad	NOUN	23	nsubj
17	que	PRON	18	nsubj
18	vibra	VERB	16	acl
19	con	ADP	21	case
20	lo	PRON	21	det
21	cómico	ADJ	18	advmod
22	ha	AUX	23	aux
23	evolucionado	VERB	5	advcl
24	más	ADV	23	advmod
25	que	SCONJ	28	mark
26	la	DET	28	det
27	que	PRON	28	nsubj
28	padece	VERB	24	advcl
29	ante	ADP	31	case
30	lo	PRON	31	det
31	dramático	ADJ	28	advmod
32	.	PUNCT	5	punct