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:
"En la Federación no hay constancia de este hecho, más bien todo lo contrario, tenemos el deseo de que el Atlético de Madrid no quería de ningún modo jugar en Mayo", señaló a EFE Jorge Pérez.
Postion	Tokenization
1	"
2	En
3	la
4	Federación
5	no
6	hay
7	constancia
8	de
9	este
10	hecho
11	,
12	más
13	bien
14	todo
15	lo
16	contrario
17	,
18	tenemos
19	el
20	deseo
21	de
22	que
23	el
24	Atlético
25	de
26	Madrid
27	no
28	quería
29	de
30	ningún
31	modo
32	jugar
33	en
34	Mayo
35	"
36	,
37	señaló
38	a
39	EFE
40	Jorge
41	Pérez
42	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	6	punct
2	En	ADP	4	case
3	la	DET	4	det
4	Federación	PROPN	6	obl
5	no	ADV	6	advmod
6	hay	AUX	37	ccomp
7	constancia	NOUN	6	obj
8	de	ADP	10	case
9	este	DET	10	det
10	hecho	NOUN	7	nmod
11	,	PUNCT	6	punct
12	más	ADV	18	advmod
13	bien	ADV	12	fixed
14	todo	PRON	18	advmod
15	lo	PRON	14	fixed
16	contrario	NOUN	14	fixed
17	,	PUNCT	14	punct
18	tenemos	VERB	6	advcl
19	el	DET	20	det
20	deseo	NOUN	18	obj
21	de	ADP	28	mark
22	que	SCONJ	28	mark
23	el	DET	24	det
24	Atlético	PROPN	28	nsubj
25	de	ADP	26	case
26	Madrid	PROPN	24	flat
27	no	ADV	28	advmod
28	quería	VERB	20	acl
29	de	ADP	31	case
30	ningún	DET	31	det
31	modo	NOUN	28	obl
32	jugar	VERB	28	xcomp
33	en	ADP	34	case
34	Mayo	NOUN	32	obl
35	"	PUNCT	6	punct
36	,	PUNCT	6	punct
37	señaló	VERB	0	root
38	a	ADP	39	case
39	EFE	PROPN	37	iobj
40	Jorge	PROPN	37	nsubj
41	Pérez	PROPN	40	flat
42	.	PUNCT	37	punct