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:
"Este año he acabado cinco torneos del circuito europeo entre las diez primeras, algo que no es nada fácil, y en algunos he tenido opciones para ganar", destacó.
Postion	Tokenization
1	"
2	Este
3	año
4	he
5	acabado
6	cinco
7	torneos
8	del
9	circuito
10	europeo
11	entre
12	las
13	diez
14	primeras
15	,
16	algo
17	que
18	no
19	es
20	nada
21	fácil
22	,
23	y
24	en
25	algunos
26	he
27	tenido
28	opciones
29	para
30	ganar
31	"
32	,
33	destacó
34	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Este	DET	3	det
3	año	NOUN	5	obl
4	he	AUX	5	aux
5	acabado	VERB	33	ccomp
6	cinco	NUM	7	nummod
7	torneos	NOUN	5	obj
8	del	ADP	9	case
9	circuito	NOUN	7	nmod
10	europeo	ADJ	9	amod
11	entre	ADP	14	case
12	las	DET	14	det
13	diez	NUM	12	nummod
14	primeras	ADJ	5	obl
15	,	PUNCT	16	punct
16	algo	PRON	5	obl
17	que	PRON	21	nsubj
18	no	ADV	21	advmod
19	es	AUX	21	cop
20	nada	ADV	21	advmod
21	fácil	ADJ	16	acl
22	,	PUNCT	16	punct
23	y	CCONJ	27	cc
24	en	ADP	25	case
25	algunos	PRON	27	obl
26	he	AUX	27	aux
27	tenido	VERB	5	conj
28	opciones	NOUN	27	obj
29	para	ADP	30	mark
30	ganar	VERB	28	acl
31	"	PUNCT	5	punct
32	,	PUNCT	5	punct
33	destacó	VERB	0	root
34	.	PUNCT	33	punct