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:
Que quede claro que estoy orgulloso de haber sido un stone, pero la verdad es que no me importaría nacer de nuevo y ser el conservador de un museo, o bibliotecario, o historiador, o investigador.
Postion	Tokenization
1	Que
2	quede
3	claro
4	que
5	estoy
6	orgulloso
7	de
8	haber
9	sido
10	un
11	stone
12	,
13	pero
14	la
15	verdad
16	es
17	que
18	no
19	me
20	importaría
21	nacer
22	de
23	nuevo
24	y
25	ser
26	el
27	conservador
28	de
29	un
30	museo
31	,
32	o
33	bibliotecario
34	,
35	o
36	historiador
37	,
38	o
39	investigador
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Que	SCONJ	2	mark
2	quede	VERB	0	root
3	claro	ADJ	2	advmod
4	que	SCONJ	6	mark
5	estoy	AUX	6	cop
6	orgulloso	ADJ	2	csubj
7	de	ADP	11	mark
8	haber	AUX	11	aux
9	sido	AUX	11	cop
10	un	DET	11	det
11	stone	NOUN	6	acl
12	,	PUNCT	16	punct
13	pero	CCONJ	16	cc
14	la	DET	15	det
15	verdad	NOUN	16	nsubj
16	es	AUX	2	conj
17	que	SCONJ	20	mark
18	no	ADV	20	advmod
19	me	PRON	20	iobj
20	importaría	VERB	16	ccomp
21	nacer	VERB	20	advcl
22	de	ADP	21	advmod
23	nuevo	ADJ	22	fixed
24	y	CCONJ	27	cc
25	ser	AUX	27	cop
26	el	DET	27	det
27	conservador	NOUN	21	conj
28	de	ADP	30	case
29	un	DET	30	det
30	museo	NOUN	27	nmod
31	,	PUNCT	33	punct
32	o	CCONJ	33	cc
33	bibliotecario	NOUN	27	conj
34	,	PUNCT	33	punct
35	o	CCONJ	36	cc
36	historiador	NOUN	27	conj
37	,	PUNCT	36	punct
38	o	CCONJ	39	cc
39	investigador	NOUN	27	conj
40	.	PUNCT	2	punct