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 président légitime c'est Etienne Tshisekedi, c'est pour lui que nous avons voté, c'est lui qui doit diriger le pays ", a expliqué un opposant.
Postion	Tokenization
1	Le
2	président
3	légitime
4	c'
5	est
6	Etienne
7	Tshisekedi
8	,
9	c'
10	est
11	pour
12	lui
13	que
14	nous
15	avons
16	voté
17	,
18	c'
19	est
20	lui
21	qui
22	doit
23	diriger
24	le
25	pays
26	"
27	,
28	a
29	expliqué
30	un
31	opposant
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	président	NOUN	6	dislocated
3	légitime	ADJ	2	amod
4	c'	PRON	6	nsubj
5	est	AUX	6	cop
6	Etienne	PROPN	0	root
7	Tshisekedi	PROPN	6	flat:name
8	,	PUNCT	12	punct
9	c'	PRON	12	expl:subj
10	est	AUX	12	cop
11	pour	ADP	12	case
12	lui	PRON	6	parataxis
13	que	SCONJ	16	mark
14	nous	PRON	16	nsubj
15	avons	AUX	16	aux:tense
16	voté	VERB	12	advcl:cleft
17	,	PUNCT	20	punct
18	c'	PRON	20	expl:subj
19	est	AUX	20	cop
20	lui	PRON	6	conj
21	qui	PRON	22	nsubj
22	doit	VERB	20	advcl:cleft
23	diriger	VERB	22	xcomp:obj
24	le	DET	25	det
25	pays	NOUN	23	obj
26	"	PUNCT	6	punct
27	,	PUNCT	29	punct
28	a	AUX	29	aux:tense
29	expliqué	VERB	6	parataxis
30	un	DET	31	det
31	opposant	NOUN	29	nsubj
32	.	PUNCT	6	punct