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:
Tocó con el gran Caruso, se codeó con la Mafia, inventó ritmos y orquestas, fue maestro de la sirena más inexpresiva y pelmaza de la historia y garabateó unos dibujos naíf como quien silba un mambo.
Postion	Tokenization
1	Tocó
2	con
3	el
4	gran
5	Caruso
6	,
7	se
8	codeó
9	con
10	la
11	Mafia
12	,
13	inventó
14	ritmos
15	y
16	orquestas
17	,
18	fue
19	maestro
20	de
21	la
22	sirena
23	más
24	inexpresiva
25	y
26	pelmaza
27	de
28	la
29	historia
30	y
31	garabateó
32	unos
33	dibujos
34	naíf
35	como
36	quien
37	silba
38	un
39	mambo
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Tocó	VERB	0	root
2	con	ADP	5	case
3	el	DET	5	det
4	gran	ADJ	5	amod
5	Caruso	PROPN	1	obl
6	,	PUNCT	8	punct
7	se	PRON	8	expl:pv
8	codeó	VERB	1	advcl
9	con	ADP	11	case
10	la	DET	11	det
11	Mafia	PROPN	8	obj
12	,	PUNCT	13	punct
13	inventó	VERB	1	advcl
14	ritmos	NOUN	13	obj
15	y	CCONJ	16	cc
16	orquestas	NOUN	14	conj
17	,	PUNCT	19	punct
18	fue	AUX	19	cop
19	maestro	NOUN	1	advcl
20	de	ADP	22	case
21	la	DET	22	det
22	sirena	NOUN	19	nmod
23	más	ADV	24	advmod
24	inexpresiva	ADJ	22	amod
25	y	CCONJ	26	cc
26	pelmaza	NOUN	24	conj
27	de	ADP	29	case
28	la	DET	29	det
29	historia	NOUN	22	nmod
30	y	CCONJ	31	cc
31	garabateó	VERB	1	conj
32	unos	DET	33	det
33	dibujos	NOUN	31	obj
34	naíf	NOUN	33	nmod
35	como	SCONJ	37	mark
36	quien	PRON	37	nsubj
37	silba	VERB	31	advcl
38	un	DET	39	det
39	mambo	NOUN	37	obj
40	.	PUNCT	1	punct