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:
"Estoy todo el rato sentado en una silla, que es lo que hizo él buena parte de su vida, hablando y dirigiéndome a un personaje estático, que podría ser Blai Bonet cuando era niño".
Postion	Tokenization
1	"
2	Estoy
3	todo
4	el
5	rato
6	sentado
7	en
8	una
9	silla
10	,
11	que
12	es
13	lo
14	que
15	hizo
16	él
17	buena
18	parte
19	de
20	su
21	vida
22	,
23	hablando
24	y
25	dirigiéndome
26	dirigiendo
27	me
28	a
29	un
30	personaje
31	estático
32	,
33	que
34	podría
35	ser
36	Blai
37	Bonet
38	cuando
39	era
40	niño
41	"
42	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	6	punct
2	Estoy	AUX	6	cop
3	todo	DET	4	det
4	el	DET	5	det
5	rato	NOUN	6	obl
6	sentado	ADJ	0	root
7	en	ADP	9	case
8	una	DET	9	det
9	silla	NOUN	6	obl
10	,	PUNCT	12	punct
11	que	PRON	12	nsubj
12	es	AUX	6	advcl
13	lo	PRON	15	det
14	que	PRON	15	obj
15	hizo	VERB	12	ccomp
16	él	PRON	15	nsubj
17	buena	ADJ	18	amod
18	parte	NOUN	15	obl
19	de	ADP	21	case
20	su	DET	21	det
21	vida	NOUN	18	nmod
22	,	PUNCT	12	punct
23	hablando	VERB	6	advcl
24	y	CCONJ	25	cc
25	dirigiéndome	_	None	_
26	dirigiendo	VERB	23	conj
27	me	PRON	25	expl:pv
28	a	ADP	29	case
29	un	DET	29	det
30	personaje	NOUN	23	obj
31	estático	ADJ	29	amod
32	,	PUNCT	35	punct
33	que	PRON	35	nsubj
34	podría	AUX	35	aux
35	ser	AUX	35	cop
36	Blai	PROPN	29	acl
37	Bonet	PROPN	35	flat
38	cuando	SCONJ	39	mark
39	era	AUX	39	cop
40	niño	NOUN	35	advcl
41	"	PUNCT	6	punct
42	.	PUNCT	6	punct