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:
Les progrès de l'hygiène se font également sentir : ils permettent d'éradiquer la peste (dès 1720) puis le choléra (vers 1900) en Europe.
Postion	Tokenization
1	Les
2	progrès
3	de
4	l'
5	hygiène
6	se
7	font
8	également
9	sentir
10	:
11	ils
12	permettent
13	d'
14	éradiquer
15	la
16	peste
17	(
18	dès
19	1720
20	)
21	puis
22	le
23	choléra
24	(
25	vers
26	1900
27	)
28	en
29	Europe
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	progrès	NOUN	9	nsubj:caus
3	de	ADP	5	case
4	l'	DET	5	det
5	hygiène	NOUN	2	nmod
6	se	PRON	9	obj
7	font	AUX	9	aux:caus
8	également	ADV	9	advmod
9	sentir	VERB	0	root
10	:	PUNCT	12	punct
11	ils	PRON	12	nsubj
12	permettent	VERB	9	parataxis
13	d'	ADP	14	mark
14	éradiquer	VERB	12	xcomp:obj
15	la	DET	16	det
16	peste	NOUN	14	obj
17	(	PUNCT	19	punct
18	dès	ADP	19	case
19	1720	NUM	14	obl:mod
20	)	PUNCT	19	punct
21	puis	ADV	23	cc
22	le	DET	23	det
23	choléra	NOUN	14	conj
24	(	PUNCT	26	punct
25	vers	ADP	26	case
26	1900	NUM	23	orphan
27	)	PUNCT	26	punct
28	en	ADP	29	case
29	Europe	PROPN	14	obl:mod
30	.	PUNCT	9	punct