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:
Le taux de personnes d'un âge supérieur à 60 ans (19,4%) est en effet inférieur au taux national (21,6%) et au taux départemental (20,7%).
Postion	Tokenization
1	Le
2	taux
3	de
4	personnes
5	d'
6	un
7	âge
8	supérieur
9	à
10	60
11	ans
12	(
13	19,4
14	%
15	)
16	est
17	en
18	effet
19	inférieur
20	au
21	à
22	le
23	taux
24	national
25	(
26	21,6
27	%
28	)
29	et
30	au
31	à
32	le
33	taux
34	départemental
35	(
36	20,7
37	%
38	)
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	taux	NOUN	19	nsubj
3	de	ADP	4	case
4	personnes	NOUN	2	nmod
5	d'	ADP	7	case
6	un	DET	7	det
7	âge	NOUN	4	nmod
8	supérieur	ADJ	7	amod
9	à	ADP	11	case
10	60	NUM	11	nummod
11	ans	NOUN	8	obl:arg
12	(	PUNCT	14	punct
13	19,4	NUM	14	nummod
14	%	SYM	2	appos
15	)	PUNCT	14	punct
16	est	AUX	19	cop
17	en	ADP	19	advmod
18	effet	NOUN	17	fixed
19	inférieur	ADJ	0	root
20	au	_	None	_
21	à	ADP	22	case
22	le	DET	22	det
23	taux	NOUN	19	obl:arg
24	national	ADJ	22	amod
25	(	PUNCT	26	punct
26	21,6	NUM	26	nummod
27	%	SYM	22	appos
28	)	PUNCT	26	punct
29	et	CCONJ	31	cc
30	au	_	None	_
31	à	ADP	31	case
32	le	DET	31	det
33	taux	NOUN	22	conj
34	départemental	ADJ	31	amod
35	(	PUNCT	35	punct
36	20,7	NUM	35	nummod
37	%	SYM	31	appos
38	)	PUNCT	35	punct
39	.	PUNCT	19	punct