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:
Tampoco tiene problemas a la hora de poner a la menor, Ana Boyer, de niña anuncio, al posar con ella en su tradicional reportaje de Navidad para la marca de azulejos que representa.
Postion	Tokenization
1	Tampoco
2	tiene
3	problemas
4	a
5	la
6	hora
7	de
8	poner
9	a
10	la
11	menor
12	,
13	Ana
14	Boyer
15	,
16	de
17	niña
18	anuncio
19	,
20	al
21	posar
22	con
23	ella
24	en
25	su
26	tradicional
27	reportaje
28	de
29	Navidad
30	para
31	la
32	marca
33	de
34	azulejos
35	que
36	representa
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Tampoco	ADV	2	advmod
2	tiene	VERB	0	root
3	problemas	NOUN	2	obj
4	a	ADP	6	case
5	la	DET	6	det
6	hora	NOUN	2	obl
7	de	ADP	8	mark
8	poner	VERB	6	acl
9	a	ADP	11	case
10	la	DET	11	det
11	menor	ADJ	8	obj
12	,	PUNCT	13	punct
13	Ana	PROPN	11	obj
14	Boyer	PROPN	13	flat
15	,	PUNCT	13	punct
16	de	ADP	17	case
17	niña	NOUN	8	obj
18	anuncio	NOUN	17	nmod
19	,	PUNCT	21	punct
20	al	ADP	21	mark
21	posar	VERB	8	advcl
22	con	ADP	23	case
23	ella	PRON	21	obl
24	en	ADP	27	case
25	su	DET	27	det
26	tradicional	ADJ	27	amod
27	reportaje	NOUN	21	obl
28	de	ADP	29	case
29	Navidad	PROPN	27	nmod
30	para	ADP	32	case
31	la	DET	32	det
32	marca	NOUN	21	obl
33	de	ADP	34	case
34	azulejos	NOUN	32	nmod
35	que	PRON	36	obj
36	representa	VERB	32	acl
37	.	PUNCT	2	punct