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 Lleida intentó apretar el acelerador tras el descanso, pero le fallaron las fuerzas y, además, se encontró entonces con un Eibar más ambicioso.
Postion	Tokenization
1	El
2	Lleida
3	intentó
4	apretar
5	el
6	acelerador
7	tras
8	el
9	descanso
10	,
11	pero
12	le
13	fallaron
14	las
15	fuerzas
16	y
17	,
18	además
19	,
20	se
21	encontró
22	entonces
23	con
24	un
25	Eibar
26	más
27	ambicioso
28	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Lleida	PROPN	3	nsubj
3	intentó	VERB	0	root
4	apretar	VERB	3	xcomp
5	el	DET	6	det
6	acelerador	NOUN	4	obj
7	tras	ADP	9	case
8	el	DET	9	det
9	descanso	NOUN	4	obl
10	,	PUNCT	13	punct
11	pero	CCONJ	13	cc
12	le	PRON	13	obj
13	fallaron	VERB	3	conj
14	las	DET	15	det
15	fuerzas	NOUN	13	nsubj
16	y	CCONJ	21	cc
17	,	PUNCT	18	punct
18	además	ADV	21	advmod
19	,	PUNCT	18	punct
20	se	PRON	21	expl:pv
21	encontró	VERB	13	conj
22	entonces	ADV	21	advmod
23	con	ADP	25	case
24	un	DET	25	det
25	Eibar	PROPN	21	obj
26	más	ADV	27	advmod
27	ambicioso	ADJ	25	amod
28	.	PUNCT	3	punct