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:
Por países, Finlandia registró el crecimiento más destacado en este periodo (1,6%), mientras que los mayores descensos se produjeron en Alemania (-0,7%), Italia, (-0,9%) y Dinamarca (-1,1%).
Postion	Tokenization
1	Por
2	países
3	,
4	Finlandia
5	registró
6	el
7	crecimiento
8	más
9	destacado
10	en
11	este
12	periodo
13	(
14	1,6%
15	)
16	,
17	mientras
18	que
19	los
20	mayores
21	descensos
22	se
23	produjeron
24	en
25	Alemania
26	(
27	-0,7%
28	)
29	,
30	Italia
31	,
32	(
33	-0,9%
34	)
35	y
36	Dinamarca
37	(
38	-1,1%
39	)
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	2	case
2	países	NOUN	5	obl
3	,	PUNCT	2	punct
4	Finlandia	PROPN	5	nsubj
5	registró	VERB	17	parataxis
6	el	DET	7	det
7	crecimiento	NOUN	5	obj
8	más	ADV	9	advmod
9	destacado	ADJ	7	amod
10	en	ADP	12	case
11	este	DET	12	det
12	periodo	NOUN	7	nmod
13	(	PUNCT	14	punct
14	1,6%	SYM	7	appos
15	)	PUNCT	14	punct
16	,	PUNCT	17	punct
17	mientras	CCONJ	0	root
18	que	SCONJ	17	fixed
19	los	DET	21	det
20	mayores	ADJ	21	amod
21	descensos	NOUN	23	nsubj
22	se	PRON	23	expl:pv
23	produjeron	VERB	17	parataxis
24	en	ADP	25	case
25	Alemania	PROPN	23	obl
26	(	PUNCT	27	punct
27	-0,7%	SYM	25	appos
28	)	PUNCT	27	punct
29	,	PUNCT	30	punct
30	Italia	PROPN	25	flat
31	,	PUNCT	33	punct
32	(	PUNCT	33	punct
33	-0,9%	SYM	30	appos
34	)	PUNCT	33	punct
35	y	CCONJ	36	cc
36	Dinamarca	PROPN	25	conj
37	(	PUNCT	38	punct
38	-1,1%	SYM	36	appos
39	)	PUNCT	38	punct
40	.	PUNCT	17	punct