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:
Tienen accésit su ex marido, Pedro Carrasco, y su actual esposa, Raquel Mosquera, que se ganan su pequeño espacio en la portada de Diez Minutos gracias a que buscan un hijo adoptivo en Brasil.
Postion	Tokenization
1	Tienen
2	accésit
3	su
4	ex
5	marido
6	,
7	Pedro
8	Carrasco
9	,
10	y
11	su
12	actual
13	esposa
14	,
15	Raquel
16	Mosquera
17	,
18	que
19	se
20	ganan
21	su
22	pequeño
23	espacio
24	en
25	la
26	portada
27	de
28	Diez
29	Minutos
30	gracias
31	a
32	que
33	buscan
34	un
35	hijo
36	adoptivo
37	en
38	Brasil
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Tienen	VERB	0	root
2	accésit	NOUN	1	obj
3	su	DET	5	det
4	ex	ADJ	5	amod
5	marido	NOUN	1	nsubj
6	,	PUNCT	7	punct
7	Pedro	PROPN	5	appos
8	Carrasco	PROPN	7	flat
9	,	PUNCT	7	punct
10	y	CCONJ	13	cc
11	su	DET	13	det
12	actual	ADJ	13	amod
13	esposa	NOUN	5	conj
14	,	PUNCT	15	punct
15	Raquel	PROPN	13	appos
16	Mosquera	PROPN	15	flat
17	,	PUNCT	15	punct
18	que	PRON	20	nsubj
19	se	PRON	20	iobj
20	ganan	VERB	5	acl
21	su	DET	23	det
22	pequeño	ADJ	23	amod
23	espacio	NOUN	20	obj
24	en	ADP	26	case
25	la	DET	26	det
26	portada	NOUN	23	nmod
27	de	ADP	28	case
28	Diez	NUM	26	nmod
29	Minutos	PROPN	28	flat
30	gracias	NOUN	33	mark
31	a	ADP	30	fixed
32	que	SCONJ	33	mark
33	buscan	VERB	20	advcl
34	un	DET	35	det
35	hijo	NOUN	33	obj
36	adoptivo	ADJ	35	amod
37	en	ADP	38	case
38	Brasil	PROPN	33	obl
39	.	PUNCT	1	punct