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:
"El Deportivo es el líder y merece todos los respetos, por ello me niego a hablar del Madrid-Barcelona, porque parece que en España existen sólo dos equipos, y no es así", señaló.
Postion	Tokenization
1	"
2	El
3	Deportivo
4	es
5	el
6	líder
7	y
8	merece
9	todos
10	los
11	respetos
12	,
13	por
14	ello
15	me
16	niego
17	a
18	hablar
19	del
20	Madrid-Barcelona
21	,
22	porque
23	parece
24	que
25	en
26	España
27	existen
28	sólo
29	dos
30	equipos
31	,
32	y
33	no
34	es
35	así
36	"
37	,
38	señaló
39	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	6	punct
2	El	DET	3	det
3	Deportivo	PROPN	6	nsubj
4	es	AUX	6	cop
5	el	DET	6	det
6	líder	NOUN	38	ccomp
7	y	CCONJ	8	cc
8	merece	VERB	6	conj
9	todos	DET	10	det
10	los	DET	11	det
11	respetos	NOUN	8	obj
12	,	PUNCT	8	punct
13	por	ADP	14	case
14	ello	PRON	16	obl
15	me	PRON	16	expl:pv
16	niego	VERB	8	advcl
17	a	ADP	18	mark
18	hablar	VERB	16	xcomp
19	del	ADP	20	case
20	Madrid-Barcelona	PROPN	18	obj
21	,	PUNCT	23	punct
22	porque	SCONJ	23	mark
23	parece	VERB	16	advcl
24	que	SCONJ	27	mark
25	en	ADP	26	case
26	España	PROPN	27	obl
27	existen	VERB	23	ccomp
28	sólo	ADV	30	advmod
29	dos	NUM	30	nummod
30	equipos	NOUN	27	nsubj
31	,	PUNCT	35	punct
32	y	CCONJ	35	cc
33	no	ADV	35	advmod
34	es	AUX	35	cop
35	así	ADV	23	conj
36	"	PUNCT	6	punct
37	,	PUNCT	6	punct
38	señaló	VERB	0	root
39	.	PUNCT	38	punct