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:
Si los lectores son del talante que el autor denuncia, las palabras que les dedica sólo valen como desahogo personal, pues nadie las leerá, y ahí quedarán apasionadas y sin eco.
Postion	Tokenization
1	Si
2	los
3	lectores
4	son
5	del
6	talante
7	que
8	el
9	autor
10	denuncia
11	,
12	las
13	palabras
14	que
15	les
16	dedica
17	sólo
18	valen
19	como
20	desahogo
21	personal
22	,
23	pues
24	nadie
25	las
26	leerá
27	,
28	y
29	ahí
30	quedarán
31	apasionadas
32	y
33	sin
34	eco
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	6	mark
2	los	DET	3	det
3	lectores	NOUN	6	nsubj
4	son	AUX	6	cop
5	del	ADP	6	case
6	talante	NOUN	0	root
7	que	PRON	10	obj
8	el	DET	9	det
9	autor	NOUN	10	nsubj
10	denuncia	VERB	6	acl
11	,	PUNCT	6	punct
12	las	DET	13	det
13	palabras	NOUN	18	nsubj
14	que	PRON	16	obj
15	les	PRON	16	obj
16	dedica	VERB	13	acl
17	sólo	ADV	18	advmod
18	valen	VERB	6	advcl
19	como	SCONJ	20	mark
20	desahogo	NOUN	18	obl
21	personal	ADJ	20	amod
22	,	PUNCT	26	punct
23	pues	SCONJ	26	mark
24	nadie	PRON	26	nsubj
25	las	PRON	26	obj
26	leerá	VERB	18	advcl
27	,	PUNCT	26	punct
28	y	CCONJ	30	cc
29	ahí	ADV	30	advmod
30	quedarán	VERB	18	conj
31	apasionadas	ADJ	30	obj
32	y	CCONJ	34	cc
33	sin	ADP	34	case
34	eco	NOUN	31	conj
35	.	PUNCT	6	punct