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:
Me da igual que pueda tener repercusión dentro del campo, pero estoy en el deber de avisarlo ", explicó Ferreira, quien confesó que el árbitro madrileño no le trae" buenos recuerdos".
Postion	Tokenization
1	Me
2	da
3	igual
4	que
5	pueda
6	tener
7	repercusión
8	dentro
9	del
10	campo
11	,
12	pero
13	estoy
14	en
15	el
16	deber
17	de
18	avisarlo
19	avisar
20	lo
21	"
22	,
23	explicó
24	Ferreira
25	,
26	quien
27	confesó
28	que
29	el
30	árbitro
31	madrileño
32	no
33	le
34	trae
35	"
36	buenos
37	recuerdos
38	"
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Me	PRON	2	iobj
2	da	VERB	22	ccomp
3	igual	ADJ	2	advmod
4	que	SCONJ	6	mark
5	pueda	AUX	6	aux
6	tener	VERB	2	csubj
7	repercusión	NOUN	6	obj
8	dentro	ADV	6	advmod
9	del	ADP	10	case
10	campo	NOUN	8	obl
11	,	PUNCT	13	punct
12	pero	CCONJ	13	cc
13	estoy	VERB	2	conj
14	en	ADP	16	case
15	el	DET	16	det
16	deber	NOUN	13	obj
17	de	ADP	18	mark
18	avisarlo	_	None	_
19	avisar	VERB	16	acl
20	lo	PRON	18	obj
21	"	PUNCT	2	punct
22	,	PUNCT	2	punct
23	explicó	VERB	0	root
24	Ferreira	PROPN	22	nsubj
25	,	PUNCT	26	punct
26	quien	PRON	26	nsubj
27	confesó	VERB	23	acl
28	que	SCONJ	33	mark
29	el	DET	29	det
30	árbitro	NOUN	33	nsubj
31	madrileño	ADJ	29	amod
32	no	ADV	33	advmod
33	le	PRON	33	obj
34	trae	VERB	26	ccomp
35	"	PUNCT	36	punct
36	buenos	ADJ	36	amod
37	recuerdos	NOUN	33	obj
38	"	PUNCT	36	punct
39	.	PUNCT	22	punct