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:
Mientras que en 1975 sólo el 45 por ciento de la población practicante lo hacía regularmente, en 1995 este porcentaje había ascendido al 80 por ciento.
Postion	Tokenization
1	Mientras
2	que
3	en
4	1975
5	sólo
6	el
7	45
8	por
9	ciento
10	de
11	la
12	población
13	practicante
14	lo
15	hacía
16	regularmente
17	,
18	en
19	1995
20	este
21	porcentaje
22	había
23	ascendido
24	al
25	80
26	por
27	ciento
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Mientras	CCONJ	15	cc
2	que	SCONJ	1	fixed
3	en	ADP	4	case
4	1975	NOUN	15	obl
5	sólo	ADV	7	advmod
6	el	DET	7	det
7	45	NUM	15	nsubj
8	por	ADP	9	case
9	ciento	NUM	7	compound
10	de	ADP	12	case
11	la	DET	12	det
12	población	NOUN	7	nmod
13	practicante	ADJ	12	amod
14	lo	PRON	15	obj
15	hacía	VERB	0	root
16	regularmente	ADV	15	advmod
17	,	PUNCT	15	punct
18	en	ADP	19	case
19	1995	NOUN	23	obl
20	este	DET	21	det
21	porcentaje	NOUN	23	nsubj
22	había	AUX	23	aux
23	ascendido	VERB	15	advcl
24	al	ADP	25	case
25	80	NUM	23	obj
26	por	ADP	27	case
27	ciento	NUM	25	compound
28	.	PUNCT	15	punct