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:
Acerca del rival de la próxima jornada, el central de Saucelles reconoció que el Málaga es uno de los rivales que más "respeto" le produce.
Postion	Tokenization
1	Acerca
2	del
3	rival
4	de
5	la
6	próxima
7	jornada
8	,
9	el
10	central
11	de
12	Saucelles
13	reconoció
14	que
15	el
16	Málaga
17	es
18	uno
19	de
20	los
21	rivales
22	que
23	más
24	"
25	respeto
26	"
27	le
28	produce
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Acerca	ADV	3	case
2	del	ADP	1	fixed
3	rival	NOUN	13	obl
4	de	ADP	7	case
5	la	DET	7	det
6	próxima	ADJ	7	amod
7	jornada	NOUN	3	nmod
8	,	PUNCT	3	punct
9	el	DET	10	det
10	central	NOUN	13	nsubj
11	de	ADP	12	case
12	Saucelles	PROPN	10	nmod
13	reconoció	VERB	0	root
14	que	SCONJ	18	mark
15	el	DET	16	det
16	Málaga	PROPN	18	nsubj
17	es	AUX	18	cop
18	uno	PRON	13	ccomp
19	de	ADP	21	case
20	los	DET	21	det
21	rivales	NOUN	18	nmod
22	que	PRON	28	nsubj
23	más	ADV	25	advmod
24	"	PUNCT	25	punct
25	respeto	NOUN	28	obj
26	"	PUNCT	25	punct
27	le	PRON	28	obj
28	produce	VERB	18	acl
29	.	PUNCT	13	punct