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:
No es difícil vincular al propio García Sánchez, que afirma ser consciente de haber pasado una travesía del desierto literaria en los últimos años, con su amargado protagonista.
Postion	Tokenization
1	No
2	es
3	difícil
4	vincular
5	al
6	propio
7	García
8	Sánchez
9	,
10	que
11	afirma
12	ser
13	consciente
14	de
15	haber
16	pasado
17	una
18	travesía
19	del
20	desierto
21	literaria
22	en
23	los
24	últimos
25	años
26	,
27	con
28	su
29	amargado
30	protagonista
31	.
Position	Tokenization	UPOS	Head	Deprel
1	No	ADV	3	advmod
2	es	AUX	3	cop
3	difícil	ADJ	0	root
4	vincular	VERB	3	csubj
5	al	ADP	7	case
6	propio	DET	7	det
7	García	PROPN	4	obj
8	Sánchez	PROPN	7	flat
9	,	PUNCT	11	punct
10	que	PRON	11	nsubj
11	afirma	VERB	7	acl
12	ser	AUX	13	cop
13	consciente	ADJ	11	xcomp
14	de	ADP	16	mark
15	haber	AUX	16	aux
16	pasado	VERB	13	acl
17	una	DET	18	det
18	travesía	NOUN	16	obj
19	del	ADP	20	case
20	desierto	NOUN	18	nmod
21	literaria	ADJ	18	amod
22	en	ADP	25	case
23	los	DET	25	det
24	últimos	ADJ	25	amod
25	años	NOUN	16	obl
26	,	PUNCT	30	punct
27	con	ADP	30	case
28	su	DET	30	det
29	amargado	ADJ	30	amod
30	protagonista	NOUN	4	obj
31	.	PUNCT	3	punct