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:
La jugadora zaragozana en declaraciones a EFE comentó que en la presente temporada se está encontrando a un nivel de juego "muy bueno" lo que le ha llevado a ser la cuarta en la clasificación europea.
Postion	Tokenization
1	La
2	jugadora
3	zaragozana
4	en
5	declaraciones
6	a
7	EFE
8	comentó
9	que
10	en
11	la
12	presente
13	temporada
14	se
15	está
16	encontrando
17	a
18	un
19	nivel
20	de
21	juego
22	"
23	muy
24	bueno
25	"
26	lo
27	que
28	le
29	ha
30	llevado
31	a
32	ser
33	la
34	cuarta
35	en
36	la
37	clasificación
38	europea
39	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	jugadora	NOUN	8	nsubj
3	zaragozana	ADJ	2	amod
4	en	ADP	5	case
5	declaraciones	NOUN	8	obl
6	a	ADP	7	case
7	EFE	PROPN	5	nmod
8	comentó	VERB	0	root
9	que	SCONJ	16	mark
10	en	ADP	13	case
11	la	DET	13	det
12	presente	ADJ	13	amod
13	temporada	NOUN	16	obl
14	se	PRON	16	expl:pv
15	está	AUX	16	aux
16	encontrando	VERB	8	ccomp
17	a	ADP	19	case
18	un	DET	19	det
19	nivel	NOUN	16	obj
20	de	ADP	21	case
21	juego	NOUN	19	nmod
22	"	PUNCT	24	punct
23	muy	ADV	24	advmod
24	bueno	ADJ	19	amod
25	"	PUNCT	24	punct
26	lo	PRON	30	det
27	que	PRON	30	nsubj
28	le	PRON	30	iobj
29	ha	AUX	30	aux
30	llevado	VERB	16	advcl
31	a	ADP	32	mark
32	ser	AUX	30	xcomp
33	la	DET	34	det
34	cuarta	ADJ	32	obj
35	en	ADP	37	case
36	la	DET	37	det
37	clasificación	NOUN	34	nmod
38	europea	ADJ	37	amod
39	.	PUNCT	8	punct