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:
En pesetas se ve la diferencia de forma bien transparente: en Berlín cuesta un 25% más hincarle el diente a uno de los productos más estandarizados que existen.
Postion	Tokenization
1	En
2	pesetas
3	se
4	ve
5	la
6	diferencia
7	de
8	forma
9	bien
10	transparente
11	:
12	en
13	Berlín
14	cuesta
15	un
16	25%
17	más
18	hincarle
19	hincar
20	le
21	el
22	diente
23	a
24	uno
25	de
26	los
27	productos
28	más
29	estandarizados
30	que
31	existen
32	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	pesetas	NOUN	4	obl
3	se	PRON	4	expl:pass
4	ve	VERB	0	root
5	la	DET	6	det
6	diferencia	NOUN	4	nsubj
7	de	ADP	8	case
8	forma	NOUN	6	nmod
9	bien	ADV	10	advmod
10	transparente	ADJ	8	amod
11	:	PUNCT	14	punct
12	en	ADP	13	case
13	Berlín	PROPN	14	obl
14	cuesta	VERB	4	advcl
15	un	DET	16	det
16	25%	SYM	14	obl
17	más	ADV	16	advmod
18	hincarle	_	None	_
19	hincar	VERB	14	csubj
20	le	PRON	18	obj
21	el	DET	21	det
22	diente	NOUN	18	obj
23	a	ADP	23	case
24	uno	PRON	18	obj
25	de	ADP	26	case
26	los	DET	26	det
27	productos	NOUN	23	nmod
28	más	ADV	28	advmod
29	estandarizados	ADJ	26	amod
30	que	PRON	30	nsubj
31	existen	VERB	26	acl
32	.	PUNCT	4	punct