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 premio Nobel estimó que el BCE no tendría que haber permitido que el euro se depreciara por debajo de la paridad con el dólar.
Postion	Tokenization
1	El
2	premio
3	Nobel
4	estimó
5	que
6	el
7	BCE
8	no
9	tendría
10	que
11	haber
12	permitido
13	que
14	el
15	euro
16	se
17	depreciara
18	por
19	debajo
20	de
21	la
22	paridad
23	con
24	el
25	dólar
26	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	premio	NOUN	4	nsubj
3	Nobel	PROPN	2	appos
4	estimó	VERB	0	root
5	que	SCONJ	12	mark
6	el	DET	7	det
7	BCE	PROPN	12	nsubj
8	no	ADV	12	advmod
9	tendría	VERB	4	ccomp
10	que	SCONJ	12	cc
11	haber	AUX	12	aux
12	permitido	VERB	9	conj
13	que	SCONJ	17	mark
14	el	DET	15	det
15	euro	NOUN	17	nsubj
16	se	PRON	17	expl:pv
17	depreciara	VERB	12	ccomp
18	por	ADP	22	case
19	debajo	ADV	18	fixed
20	de	ADP	18	fixed
21	la	DET	22	det
22	paridad	NOUN	17	obl
23	con	ADP	25	case
24	el	DET	25	det
25	dólar	NOUN	22	nmod
26	.	PUNCT	4	punct