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:
El euro, incluso antes de ser creado, protegió a la UE durante el año pasado de la grave crisis financiera internacional y la convirtió en un polo de estabilidad, señaló Edlinger.
Postion	Tokenization
1	El
2	euro
3	,
4	incluso
5	antes
6	de
7	ser
8	creado
9	,
10	protegió
11	a
12	la
13	UE
14	durante
15	el
16	año
17	pasado
18	de
19	la
20	grave
21	crisis
22	financiera
23	internacional
24	y
25	la
26	convirtió
27	en
28	un
29	polo
30	de
31	estabilidad
32	,
33	señaló
34	Edlinger
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	euro	NOUN	10	nsubj
3	,	PUNCT	4	punct
4	incluso	ADV	10	advmod
5	antes	ADV	4	advmod
6	de	ADP	8	mark
7	ser	AUX	8	aux
8	creado	VERB	5	advcl
9	,	PUNCT	4	punct
10	protegió	VERB	33	ccomp
11	a	ADP	13	case
12	la	DET	13	det
13	UE	PROPN	10	obj
14	durante	ADP	16	case
15	el	DET	16	det
16	año	NOUN	10	obl
17	pasado	ADJ	16	amod
18	de	ADP	21	case
19	la	DET	21	det
20	grave	ADJ	21	amod
21	crisis	NOUN	10	obj
22	financiera	ADJ	21	amod
23	internacional	ADJ	21	amod
24	y	CCONJ	26	cc
25	la	PRON	26	obj
26	convirtió	VERB	10	conj
27	en	ADP	29	case
28	un	DET	29	det
29	polo	NOUN	26	iobj
30	de	ADP	31	case
31	estabilidad	NOUN	29	nmod
32	,	PUNCT	10	punct
33	señaló	VERB	0	root
34	Edlinger	PROPN	33	nsubj
35	.	PUNCT	33	punct