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:
"Llegar a estar entre los cuatro mejores de Europa no es fácil, y creo que ya es un éxito para el Valencia, después de haber jugado la final del pasado año.
Postion	Tokenization
1	"
2	Llegar
3	a
4	estar
5	entre
6	los
7	cuatro
8	mejores
9	de
10	Europa
11	no
12	es
13	fácil
14	,
15	y
16	creo
17	que
18	ya
19	es
20	un
21	éxito
22	para
23	el
24	Valencia
25	,
26	después
27	de
28	haber
29	jugado
30	la
31	final
32	del
33	pasado
34	año
35	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	13	punct
2	Llegar	VERB	13	csubj
3	a	ADP	4	mark
4	estar	VERB	2	xcomp
5	entre	ADP	8	case
6	los	DET	8	det
7	cuatro	NUM	6	nummod
8	mejores	ADJ	2	advmod
9	de	ADP	10	case
10	Europa	PROPN	8	nmod
11	no	ADV	13	advmod
12	es	AUX	13	cop
13	fácil	ADJ	0	root
14	,	PUNCT	16	punct
15	y	CCONJ	16	cc
16	creo	VERB	13	conj
17	que	SCONJ	21	mark
18	ya	ADV	21	advmod
19	es	AUX	21	cop
20	un	DET	21	det
21	éxito	NOUN	16	ccomp
22	para	ADP	24	case
23	el	DET	24	det
24	Valencia	PROPN	21	nmod
25	,	PUNCT	26	punct
26	después	ADV	21	advmod
27	de	ADP	29	mark
28	haber	AUX	29	aux
29	jugado	VERB	26	advcl
30	la	DET	31	det
31	final	NOUN	29	obj
32	del	ADP	34	case
33	pasado	ADJ	34	amod
34	año	NOUN	31	nmod
35	.	PUNCT	13	punct