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 euros, parece que existen menos diferencias, pero hay que tener en cuenta que cada cent - - fracción en la que se divide el euro - - son 1,66 pesetas.
Postion	Tokenization
1	En
2	euros
3	,
4	parece
5	que
6	existen
7	menos
8	diferencias
9	,
10	pero
11	hay
12	que
13	tener
14	en
15	cuenta
16	que
17	cada
18	cent
19	-
20	-
21	fracción
22	en
23	la
24	que
25	se
26	divide
27	el
28	euro
29	-
30	-
31	son
32	1,66
33	pesetas
34	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	euros	NOUN	4	obl
3	,	PUNCT	2	punct
4	parece	VERB	0	root
5	que	SCONJ	6	mark
6	existen	VERB	4	ccomp
7	menos	ADV	8	advmod
8	diferencias	NOUN	6	nsubj
9	,	PUNCT	11	punct
10	pero	CCONJ	11	cc
11	hay	AUX	4	conj
12	que	SCONJ	13	cc
13	tener	VERB	11	conj
14	en	ADP	15	case
15	cuenta	NOUN	13	compound
16	que	SCONJ	33	mark
17	cada	DET	18	det
18	cent	NOUN	33	nsubj
19	-	PUNCT	21	punct
20	-	PUNCT	21	punct
21	fracción	NOUN	18	appos
22	en	ADP	24	case
23	la	DET	24	det
24	que	PRON	26	obl
25	se	PRON	26	expl:pass
26	divide	VERB	21	acl
27	el	DET	28	det
28	euro	NOUN	26	nsubj
29	-	PUNCT	21	punct
30	-	PUNCT	21	punct
31	son	AUX	33	cop
32	1,66	NUM	33	nummod
33	pesetas	NOUN	13	ccomp
34	.	PUNCT	4	punct