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:
La gran mayoría solía tatarear Derroche, un tema de amor y de sexo que yo cantaba sin más lecturas.
Postion	Tokenization
1	La
2	gran
3	mayoría
4	solía
5	tatarear
6	Derroche
7	,
8	un
9	tema
10	de
11	amor
12	y
13	de
14	sexo
15	que
16	yo
17	cantaba
18	sin
19	más
20	lecturas
21	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	gran	ADJ	3	amod
3	mayoría	NOUN	4	nsubj
4	solía	VERB	0	root
5	tatarear	VERB	4	xcomp
6	Derroche	PROPN	5	obj
7	,	PUNCT	9	punct
8	un	DET	9	det
9	tema	NOUN	6	appos
10	de	ADP	11	case
11	amor	NOUN	9	nmod
12	y	CCONJ	14	cc
13	de	ADP	14	case
14	sexo	NOUN	11	conj
15	que	PRON	17	obj
16	yo	PRON	17	nsubj
17	cantaba	VERB	9	acl
18	sin	ADP	20	case
19	más	ADV	20	advmod
20	lecturas	NOUN	17	obl
21	.	PUNCT	4	punct