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:
La noción de que el dólar se prepara para un ascenso sostenido provocó una ola de ventas especulativas que restó vigor al billete verde.
Postion	Tokenization
1	La
2	noción
3	de
4	que
5	el
6	dólar
7	se
8	prepara
9	para
10	un
11	ascenso
12	sostenido
13	provocó
14	una
15	ola
16	de
17	ventas
18	especulativas
19	que
20	restó
21	vigor
22	al
23	billete
24	verde
25	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	noción	NOUN	13	nsubj
3	de	ADP	8	mark
4	que	SCONJ	8	mark
5	el	DET	6	det
6	dólar	NOUN	8	nsubj
7	se	PRON	8	obj
8	prepara	VERB	2	acl
9	para	ADP	11	case
10	un	DET	11	det
11	ascenso	NOUN	8	obl
12	sostenido	ADJ	11	amod
13	provocó	VERB	0	root
14	una	DET	15	det
15	ola	NOUN	13	obj
16	de	ADP	17	case
17	ventas	NOUN	15	nmod
18	especulativas	ADJ	17	amod
19	que	PRON	20	nsubj
20	restó	VERB	15	acl
21	vigor	NOUN	20	obj
22	al	ADP	23	case
23	billete	NOUN	20	obj
24	verde	ADJ	23	amod
25	.	PUNCT	13	punct