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 chef des services sanitaires russes, Guennadi Onichtchenko, a assuré que dix millions de Russes n'ont pas accès à l'eau potable, un chiffre qui semble optimiste, le gouvernement ayant estimé en 2009 que la moitié des 142 millions d'habitants du pays en était privée.
Postion	Tokenization
1	Le
2	chef
3	des
4	de
5	les
6	services
7	sanitaires
8	russes
9	,
10	Guennadi
11	Onichtchenko
12	,
13	a
14	assuré
15	que
16	dix
17	millions
18	de
19	Russes
20	n'
21	ont
22	pas
23	accès
24	à
25	l'
26	eau
27	potable
28	,
29	un
30	chiffre
31	qui
32	semble
33	optimiste
34	,
35	le
36	gouvernement
37	ayant
38	estimé
39	en
40	2009
41	que
42	la
43	moitié
44	des
45	de
46	les
47	142
48	millions
49	d'
50	habitants
51	du
52	de
53	le
54	pays
55	en
56	était
57	privée
58	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	chef	NOUN	13	nsubj
3	des	_	None	_
4	de	ADP	5	case
5	les	DET	5	det
6	services	NOUN	2	nmod
7	sanitaires	ADJ	5	amod
8	russes	ADJ	5	amod
9	,	PUNCT	9	punct
10	Guennadi	PROPN	2	appos
11	Onichtchenko	PROPN	9	flat:name
12	,	PUNCT	9	punct
13	a	AUX	13	aux:tense
14	assuré	VERB	0	root
15	que	SCONJ	20	mark
16	dix	NUM	16	nummod
17	millions	NOUN	20	nsubj
18	de	ADP	18	case
19	Russes	PROPN	16	nmod
20	n'	ADV	20	advmod
21	ont	VERB	13	ccomp:obj
22	pas	ADV	20	advmod
23	accès	NOUN	20	obj:lvc
24	à	ADP	25	case
25	l'	DET	25	det
26	eau	NOUN	22	dep:comp
27	potable	ADJ	25	amod
28	,	PUNCT	29	punct
29	un	DET	29	det
30	chiffre	NOUN	16	appos
31	qui	PRON	31	nsubj
32	semble	VERB	29	acl:relcl
33	optimiste	ADJ	31	xcomp:pred
34	,	PUNCT	37	punct
35	le	DET	35	det
36	gouvernement	NOUN	37	nsubj
37	ayant	AUX	37	aux:tense
38	estimé	VERB	31	advcl
39	en	ADP	39	case
40	2009	NUM	37	obl:mod
41	que	SCONJ	54	mark
42	la	DET	42	det
43	moitié	NOUN	54	nsubj:pass
44	des	_	None	_
45	de	ADP	46	case
46	les	DET	46	det
47	142	NUM	46	nummod
48	millions	NOUN	42	nmod
49	d'	ADP	48	case
50	habitants	NOUN	46	nmod
51	du	_	None	_
52	de	ADP	51	case
53	le	DET	51	det
54	pays	NOUN	48	nmod
55	en	PRON	54	obl:arg
56	était	AUX	54	aux:pass
57	privée	VERB	37	ccomp:obj
58	.	PUNCT	13	punct