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:
Un taux de zéro n'exclut pas des changements importants dans la distribution des âges et/ou dans les taux de natalité, d'immigration ou de mortalité.
Postion	Tokenization
1	Un
2	taux
3	de
4	zéro
5	n'
6	exclut
7	pas
8	des
9	changements
10	importants
11	dans
12	la
13	distribution
14	des
15	de
16	les
17	âges
18	et
19	/
20	ou
21	dans
22	les
23	taux
24	de
25	natalité
26	,
27	d'
28	immigration
29	ou
30	de
31	mortalité
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	taux	NOUN	6	nsubj
3	de	ADP	4	case
4	zéro	NUM	2	nmod
5	n'	ADV	6	advmod
6	exclut	VERB	0	root
7	pas	ADV	6	advmod
8	des	DET	9	det
9	changements	NOUN	6	obj
10	importants	ADJ	9	amod
11	dans	ADP	13	case
12	la	DET	13	det
13	distribution	NOUN	9	nmod
14	des	_	None	_
15	de	ADP	16	case
16	les	DET	16	det
17	âges	NOUN	13	nmod
18	et	CCONJ	22	cc
19	/	SYM	19	cc
20	ou	CCONJ	17	conj
21	dans	ADP	22	case
22	les	DET	22	det
23	taux	NOUN	13	conj
24	de	ADP	24	case
25	natalité	NOUN	22	nmod
26	,	PUNCT	27	punct
27	d'	ADP	27	case
28	immigration	NOUN	24	conj
29	ou	CCONJ	30	cc
30	de	ADP	30	case
31	mortalité	NOUN	24	conj
32	.	PUNCT	6	punct