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:
Sin embargo, a lo largo de la década de los noventa se registró un descenso que se calcula entre el 1 y el 2 por ciento.
Postion	Tokenization
1	Sin
2	embargo
3	,
4	a
5	lo
6	largo
7	de
8	la
9	década
10	de
11	los
12	noventa
13	se
14	registró
15	un
16	descenso
17	que
18	se
19	calcula
20	entre
21	el
22	1
23	y
24	el
25	2
26	por
27	ciento
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Sin	ADP	14	advmod
2	embargo	NOUN	1	fixed
3	,	PUNCT	1	punct
4	a	ADP	9	case
5	lo	PRON	4	fixed
6	largo	NOUN	4	fixed
7	de	ADP	4	fixed
8	la	DET	9	det
9	década	NOUN	14	obl
10	de	ADP	12	case
11	los	DET	12	det
12	noventa	NOUN	9	nmod
13	se	PRON	14	expl:pass
14	registró	VERB	0	root
15	un	DET	16	det
16	descenso	NOUN	14	nsubj
17	que	PRON	19	nsubj
18	se	PRON	19	expl:pass
19	calcula	VERB	16	acl
20	entre	ADP	22	case
21	el	DET	22	det
22	1	NUM	19	obl
23	y	CCONJ	25	cc
24	el	DET	25	det
25	2	NUM	22	conj
26	por	ADP	27	case
27	ciento	NUM	25	compound
28	.	PUNCT	14	punct