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:
René Lemarchand, né en 1932, est un chercheur en sciences politiques français connu pour son travail sur les conflits ethniques et le génocide au Rwanda, Burundi et au Darfour.
Postion	Tokenization
1	René
2	Lemarchand
3	,
4	né
5	en
6	1932
7	,
8	est
9	un
10	chercheur
11	en
12	sciences
13	politiques
14	français
15	connu
16	pour
17	son
18	travail
19	sur
20	les
21	conflits
22	ethniques
23	et
24	le
25	génocide
26	au
27	à
28	le
29	Rwanda
30	,
31	Burundi
32	et
33	au
34	à
35	le
36	Darfour
37	.
Position	Tokenization	UPOS	Head	Deprel
1	René	PROPN	10	nsubj
2	Lemarchand	PROPN	1	flat:name
3	,	PUNCT	4	punct
4	né	VERB	1	acl
5	en	ADP	6	case
6	1932	NUM	4	obl:arg
7	,	PUNCT	4	punct
8	est	AUX	10	cop
9	un	DET	10	det
10	chercheur	NOUN	0	root
11	en	ADP	12	case
12	sciences	NOUN	10	nmod
13	politiques	ADJ	12	amod
14	français	ADJ	10	amod
15	connu	VERB	10	acl
16	pour	ADP	18	case
17	son	DET	18	det
18	travail	NOUN	15	obl:mod
19	sur	ADP	21	case
20	les	DET	21	det
21	conflits	NOUN	15	obl:mod
22	ethniques	ADJ	21	amod
23	et	CCONJ	25	cc
24	le	DET	25	det
25	génocide	NOUN	21	conj
26	au	_	None	_
27	à	ADP	28	case
28	le	DET	28	det
29	Rwanda	PROPN	25	nmod
30	,	PUNCT	30	punct
31	Burundi	PROPN	28	conj
32	et	CCONJ	34	cc
33	au	_	None	_
34	à	ADP	34	case
35	le	DET	34	det
36	Darfour	PROPN	28	conj
37	.	PUNCT	10	punct