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:
A nivel técnico, se considera importante que el euro no vuelva a caer por debajo de los 0,92 dólares, donde ha consolidado un buen tope de resistencia.
Postion	Tokenization
1	A
2	nivel
3	técnico
4	,
5	se
6	considera
7	importante
8	que
9	el
10	euro
11	no
12	vuelva
13	a
14	caer
15	por
16	debajo
17	de
18	los
19	0,92
20	dólares
21	,
22	donde
23	ha
24	consolidado
25	un
26	buen
27	tope
28	de
29	resistencia
30	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	2	case
2	nivel	NOUN	6	obl
3	técnico	ADJ	2	amod
4	,	PUNCT	2	punct
5	se	PRON	6	expl:pass
6	considera	VERB	0	root
7	importante	ADJ	6	obj
8	que	SCONJ	12	mark
9	el	DET	10	det
10	euro	NOUN	12	nsubj
11	no	ADV	12	advmod
12	vuelva	VERB	6	csubj
13	a	ADP	14	mark
14	caer	VERB	12	xcomp
15	por	ADP	20	case
16	debajo	ADV	15	fixed
17	de	ADP	15	fixed
18	los	DET	19	det
19	0,92	NUM	20	nummod
20	dólares	NOUN	12	obl
21	,	PUNCT	24	punct
22	donde	PRON	24	obl
23	ha	AUX	24	aux
24	consolidado	VERB	20	acl
25	un	DET	27	det
26	buen	ADJ	27	amod
27	tope	NOUN	24	obj
28	de	ADP	29	case
29	resistencia	NOUN	27	nmod
30	.	PUNCT	6	punct