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:
El alpinista bilbaíno explicó que la mala distribución de aquella primera edición de 1987, "grandilocuente y devaluada por el compromiso con los patrocinadores", provocó que pasara prácticamente desapercibida en las librerías.
Postion	Tokenization
1	El
2	alpinista
3	bilbaíno
4	explicó
5	que
6	la
7	mala
8	distribución
9	de
10	aquella
11	primera
12	edición
13	de
14	1987
15	,
16	"
17	grandilocuente
18	y
19	devaluada
20	por
21	el
22	compromiso
23	con
24	los
25	patrocinadores
26	"
27	,
28	provocó
29	que
30	pasara
31	prácticamente
32	desapercibida
33	en
34	las
35	librerías
36	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	alpinista	NOUN	4	nsubj
3	bilbaíno	ADJ	2	amod
4	explicó	VERB	0	root
5	que	SCONJ	28	mark
6	la	DET	8	det
7	mala	ADJ	8	amod
8	distribución	NOUN	28	nsubj
9	de	ADP	12	case
10	aquella	DET	12	det
11	primera	ADJ	12	amod
12	edición	NOUN	8	nmod
13	de	ADP	14	case
14	1987	NOUN	12	nmod
15	,	PUNCT	17	punct
16	"	PUNCT	17	punct
17	grandilocuente	ADJ	12	amod
18	y	CCONJ	19	cc
19	devaluada	ADJ	17	conj
20	por	ADP	22	case
21	el	DET	22	det
22	compromiso	NOUN	19	obl
23	con	ADP	25	case
24	los	DET	25	det
25	patrocinadores	NOUN	22	nmod
26	"	PUNCT	17	punct
27	,	PUNCT	17	punct
28	provocó	VERB	4	ccomp
29	que	SCONJ	30	mark
30	pasara	VERB	28	ccomp
31	prácticamente	ADV	32	advmod
32	desapercibida	ADJ	30	obj
33	en	ADP	35	case
34	las	DET	35	det
35	librerías	NOUN	30	obl
36	.	PUNCT	4	punct