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:
Documentaire de création où biographie et histoire, témoignages et archives constituent la trame d'une réflexion autour de la figure de Lumumba, sur l'assassinat politique, les médias, la mémoire.
Postion	Tokenization
1	Documentaire
2	de
3	création
4	où
5	biographie
6	et
7	histoire
8	,
9	témoignages
10	et
11	archives
12	constituent
13	la
14	trame
15	d'
16	une
17	réflexion
18	autour
19	de
20	la
21	figure
22	de
23	Lumumba
24	,
25	sur
26	l'
27	assassinat
28	politique
29	,
30	les
31	médias
32	,
33	la
34	mémoire
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Documentaire	NOUN	0	root
2	de	ADP	3	case
3	création	NOUN	1	nmod
4	où	ADV	12	advmod
5	biographie	NOUN	12	nsubj
6	et	CCONJ	7	cc
7	histoire	NOUN	5	conj
8	,	PUNCT	9	punct
9	témoignages	NOUN	5	conj
10	et	CCONJ	11	cc
11	archives	NOUN	5	conj
12	constituent	VERB	3	acl:relcl
13	la	DET	14	det
14	trame	NOUN	12	obj
15	d'	ADP	17	case
16	une	DET	17	det
17	réflexion	NOUN	14	nmod
18	autour	ADV	17	advmod
19	de	ADP	21	case
20	la	DET	21	det
21	figure	NOUN	18	obl:arg
22	de	ADP	23	case
23	Lumumba	PROPN	21	nmod
24	,	PUNCT	27	punct
25	sur	ADP	27	case
26	l'	DET	27	det
27	assassinat	NOUN	21	conj
28	politique	ADJ	27	amod
29	,	PUNCT	31	punct
30	les	DET	31	det
31	médias	NOUN	27	conj
32	,	PUNCT	34	punct
33	la	DET	34	det
34	mémoire	NOUN	27	conj
35	.	PUNCT	1	punct