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:
Una guitarra de arrastre similar al de su mayor éxito como cantante, El borracho, aquellas sevillanas que rezaban "va pidiendo por la calle papelillo de fumar".
Postion	Tokenization
1	Una
2	guitarra
3	de
4	arrastre
5	similar
6	al
7	de
8	su
9	mayor
10	éxito
11	como
12	cantante
13	,
14	El
15	borracho
16	,
17	aquellas
18	sevillanas
19	que
20	rezaban
21	"
22	va
23	pidiendo
24	por
25	la
26	calle
27	papelillo
28	de
29	fumar
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	DET	2	det
2	guitarra	NOUN	0	root
3	de	ADP	4	case
4	arrastre	NOUN	2	nmod
5	similar	ADJ	4	amod
6	al	ADP	10	case
7	de	ADP	10	case
8	su	DET	10	det
9	mayor	ADJ	10	amod
10	éxito	NOUN	5	nmod
11	como	SCONJ	12	mark
12	cantante	NOUN	10	nmod
13	,	PUNCT	14	punct
14	El	DET	15	det
15	borracho	PROPN	10	appos
16	,	PUNCT	18	punct
17	aquellas	DET	18	det
18	sevillanas	NOUN	10	appos
19	que	PRON	20	nsubj
20	rezaban	VERB	18	acl
21	"	PUNCT	23	punct
22	va	AUX	23	aux
23	pidiendo	VERB	20	ccomp
24	por	ADP	26	case
25	la	DET	26	det
26	calle	NOUN	23	obl
27	papelillo	NOUN	23	obj
28	de	ADP	29	mark
29	fumar	VERB	27	acl
30	"	PUNCT	23	punct
31	.	PUNCT	2	punct