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:
Tranquilícese el autor, alguien ha leído despacio su libro, ha pensado sobre él y, como es menos ingenuo, hasta cree que alguien se decidirá a leer la obra que ahora comento.
Postion	Tokenization
1	Tranquilícese
2	Tranquilice
3	se
4	el
5	autor
6	,
7	alguien
8	ha
9	leído
10	despacio
11	su
12	libro
13	,
14	ha
15	pensado
16	sobre
17	él
18	y
19	,
20	como
21	es
22	menos
23	ingenuo
24	,
25	hasta
26	cree
27	que
28	alguien
29	se
30	decidirá
31	a
32	leer
33	la
34	obra
35	que
36	ahora
37	comento
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Tranquilícese	_	None	_
2	Tranquilice	VERB	0	root
3	se	PRON	1	obj
4	el	DET	4	det
5	autor	NOUN	1	nsubj
6	,	PUNCT	1	punct
7	alguien	PRON	8	nsubj
8	ha	AUX	8	aux
9	leído	VERB	1	advcl
10	despacio	ADV	8	advmod
11	su	DET	11	det
12	libro	NOUN	8	obj
13	,	PUNCT	14	punct
14	ha	AUX	14	aux
15	pensado	VERB	8	advcl
16	sobre	ADP	16	case
17	él	PRON	14	obj
18	y	CCONJ	25	cc
19	,	PUNCT	22	punct
20	como	SCONJ	22	mark
21	es	AUX	22	cop
22	menos	ADV	22	advmod
23	ingenuo	ADJ	25	advcl
24	,	PUNCT	22	punct
25	hasta	ADV	25	advmod
26	cree	VERB	8	conj
27	que	SCONJ	29	mark
28	alguien	PRON	29	nsubj
29	se	PRON	29	expl:pv
30	decidirá	VERB	25	ccomp
31	a	ADP	31	mark
32	leer	VERB	29	xcomp
33	la	DET	33	det
34	obra	NOUN	31	obj
35	que	PRON	36	obj
36	ahora	ADV	36	advmod
37	comento	VERB	33	acl
38	.	PUNCT	1	punct