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 Alavés, equipo revelación de la Liga, y el Celta, para muchos el que ha ofrecido el mejor fútbol del campeonato, llevan demasiado tiempo sin ganar.
Postion	Tokenization
1	El
2	Alavés
3	,
4	equipo
5	revelación
6	de
7	la
8	Liga
9	,
10	y
11	el
12	Celta
13	,
14	para
15	muchos
16	el
17	que
18	ha
19	ofrecido
20	el
21	mejor
22	fútbol
23	del
24	campeonato
25	,
26	llevan
27	demasiado
28	tiempo
29	sin
30	ganar
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Alavés	PROPN	26	nsubj
3	,	PUNCT	4	punct
4	equipo	NOUN	2	appos
5	revelación	NOUN	4	nmod
6	de	ADP	8	case
7	la	DET	8	det
8	Liga	PROPN	4	nmod
9	,	PUNCT	4	punct
10	y	CCONJ	12	cc
11	el	DET	12	det
12	Celta	PROPN	2	conj
13	,	PUNCT	19	punct
14	para	ADP	15	case
15	muchos	PRON	19	obl
16	el	DET	17	det
17	que	PRON	19	nsubj
18	ha	AUX	19	aux
19	ofrecido	VERB	12	acl
20	el	DET	22	det
21	mejor	ADJ	22	amod
22	fútbol	NOUN	19	obj
23	del	ADP	24	case
24	campeonato	NOUN	22	nmod
25	,	PUNCT	19	punct
26	llevan	VERB	0	root
27	demasiado	ADV	28	advmod
28	tiempo	NOUN	26	iobj
29	sin	ADP	30	mark
30	ganar	VERB	26	xcomp
31	.	PUNCT	26	punct