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:
Finalmente, de esta manera, evitaremos en el futuro normativas como la originaria del actual conflicto que son sintomáticas de una vieja Europa en reconstrucción.
Postion	Tokenization
1	Finalmente
2	,
3	de
4	esta
5	manera
6	,
7	evitaremos
8	en
9	el
10	futuro
11	normativas
12	como
13	la
14	originaria
15	del
16	actual
17	conflicto
18	que
19	son
20	sintomáticas
21	de
22	una
23	vieja
24	Europa
25	en
26	reconstrucción
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Finalmente	ADV	7	advmod
2	,	PUNCT	1	punct
3	de	ADP	5	case
4	esta	DET	5	det
5	manera	NOUN	7	obl
6	,	PUNCT	5	punct
7	evitaremos	VERB	0	root
8	en	ADP	10	case
9	el	DET	10	det
10	futuro	NOUN	7	obl
11	normativas	NOUN	7	obj
12	como	SCONJ	14	mark
13	la	DET	14	det
14	originaria	ADJ	11	amod
15	del	ADP	17	case
16	actual	ADJ	17	amod
17	conflicto	NOUN	14	nmod
18	que	PRON	20	nsubj
19	son	AUX	20	cop
20	sintomáticas	ADJ	11	acl
21	de	ADP	24	case
22	una	DET	24	det
23	vieja	ADJ	24	amod
24	Europa	PROPN	20	nmod
25	en	ADP	26	case
26	reconstrucción	NOUN	24	nmod
27	.	PUNCT	7	punct