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:
Quizá por eso, y apelando a la derrota que sufrió el Deportivo en Elland Road (3-0), Cúper se cubrió ayer las espaldas al reconocer que caer esta vez ante el Leeds no sería un fracaso.
Postion	Tokenization
1	Quizá
2	por
3	eso
4	,
5	y
6	apelando
7	a
8	la
9	derrota
10	que
11	sufrió
12	el
13	Deportivo
14	en
15	Elland
16	Road
17	(
18	3-0
19	)
20	,
21	Cúper
22	se
23	cubrió
24	ayer
25	las
26	espaldas
27	al
28	reconocer
29	que
30	caer
31	esta
32	vez
33	ante
34	el
35	Leeds
36	no
37	sería
38	un
39	fracaso
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Quizá	ADV	23	advmod
2	por	ADP	1	case
3	eso	PRON	1	nmod
4	,	PUNCT	1	punct
5	y	CCONJ	6	cc
6	apelando	VERB	1	conj
7	a	ADP	9	case
8	la	DET	9	det
9	derrota	NOUN	6	obj
10	que	PRON	11	obj
11	sufrió	VERB	9	acl
12	el	DET	13	det
13	Deportivo	PROPN	11	nsubj
14	en	ADP	15	case
15	Elland	PROPN	11	obl
16	Road	PROPN	15	flat
17	(	PUNCT	18	punct
18	3-0	NUM	9	appos
19	)	PUNCT	18	punct
20	,	PUNCT	1	punct
21	Cúper	PROPN	23	nsubj
22	se	PRON	23	iobj
23	cubrió	VERB	0	root
24	ayer	ADV	23	advmod
25	las	DET	26	det
26	espaldas	NOUN	23	obj
27	al	ADP	28	mark
28	reconocer	VERB	23	advcl
29	que	SCONJ	39	mark
30	caer	VERB	39	csubj
31	esta	DET	32	det
32	vez	NOUN	30	obl
33	ante	ADP	35	case
34	el	DET	35	det
35	Leeds	PROPN	30	obl
36	no	ADV	39	advmod
37	sería	AUX	39	cop
38	un	DET	39	det
39	fracaso	NOUN	28	ccomp
40	.	PUNCT	23	punct