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:
Quizá pensó la vedette que un hijo la mantendría unida al productor y a su fortuna, pero Norma nunca pudo adivinar que el anuncio de embarazo produciría a Frade un ataque de alergia.
Postion	Tokenization
1	Quizá
2	pensó
3	la
4	vedette
5	que
6	un
7	hijo
8	la
9	mantendría
10	unida
11	al
12	productor
13	y
14	a
15	su
16	fortuna
17	,
18	pero
19	Norma
20	nunca
21	pudo
22	adivinar
23	que
24	el
25	anuncio
26	de
27	embarazo
28	produciría
29	a
30	Frade
31	un
32	ataque
33	de
34	alergia
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Quizá	ADV	2	advmod
2	pensó	VERB	0	root
3	la	PRON	4	nmod
4	vedette	NOUN	2	nsubj
5	que	SCONJ	9	mark
6	un	DET	7	det
7	hijo	NOUN	9	nsubj
8	la	PRON	9	obj
9	mantendría	VERB	2	ccomp
10	unida	ADJ	9	iobj
11	al	ADP	12	case
12	productor	NOUN	10	obj
13	y	CCONJ	16	cc
14	a	ADP	16	case
15	su	DET	16	det
16	fortuna	NOUN	12	conj
17	,	PUNCT	22	punct
18	pero	CCONJ	22	cc
19	Norma	PROPN	22	nsubj
20	nunca	ADV	22	advmod
21	pudo	AUX	22	aux
22	adivinar	VERB	2	conj
23	que	SCONJ	28	mark
24	el	DET	25	det
25	anuncio	NOUN	28	nsubj
26	de	ADP	27	case
27	embarazo	NOUN	25	nmod
28	produciría	VERB	22	ccomp
29	a	ADP	30	case
30	Frade	PROPN	28	obj
31	un	DET	32	det
32	ataque	NOUN	28	obj
33	de	ADP	34	case
34	alergia	NOUN	32	nmod
35	.	PUNCT	2	punct