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:
"Es un ladrón que me ha robado todo", cantaría el "inefablemente plañidero Perales" (frase que quizá le he plagiado inconscientemente a Carlos Boyero).
Postion	Tokenization
1	"
2	Es
3	un
4	ladrón
5	que
6	me
7	ha
8	robado
9	todo
10	"
11	,
12	cantaría
13	el
14	"
15	inefablemente
16	plañidero
17	Perales
18	"
19	(
20	frase
21	que
22	quizá
23	le
24	he
25	plagiado
26	inconscientemente
27	a
28	Carlos
29	Boyero
30	)
31	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Es	AUX	4	cop
3	un	DET	4	det
4	ladrón	NOUN	12	ccomp
5	que	PRON	8	nsubj
6	me	PRON	8	iobj
7	ha	AUX	8	aux
8	robado	VERB	4	acl
9	todo	PRON	8	obj
10	"	PUNCT	4	punct
11	,	PUNCT	4	punct
12	cantaría	VERB	0	root
13	el	DET	17	det
14	"	PUNCT	17	punct
15	inefablemente	ADV	16	advmod
16	plañidero	ADJ	17	amod
17	Perales	PROPN	12	nsubj
18	"	PUNCT	17	punct
19	(	PUNCT	20	punct
20	frase	NOUN	12	iobj
21	que	PRON	25	obj
22	quizá	ADV	25	advmod
23	le	PRON	25	obj
24	he	AUX	25	aux
25	plagiado	VERB	20	acl
26	inconscientemente	ADV	25	advmod
27	a	ADP	28	case
28	Carlos	PROPN	25	obj
29	Boyero	PROPN	28	flat
30	)	PUNCT	20	punct
31	.	PUNCT	12	punct