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:
Sur un autre chapitre, le ministre a évoqué la réforme de la Ligue arabe en avançant que des efforts ont été réalisés pour donner de l'efficacité aux actions communes.
Postion	Tokenization
1	Sur
2	un
3	autre
4	chapitre
5	,
6	le
7	ministre
8	a
9	évoqué
10	la
11	réforme
12	de
13	la
14	Ligue
15	arabe
16	en
17	avançant
18	que
19	des
20	efforts
21	ont
22	été
23	réalisés
24	pour
25	donner
26	de
27	l'
28	efficacité
29	aux
30	à
31	les
32	actions
33	communes
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Sur	ADP	4	case
2	un	DET	4	det
3	autre	ADJ	4	amod
4	chapitre	NOUN	9	obl:mod
5	,	PUNCT	4	punct
6	le	DET	7	det
7	ministre	NOUN	9	nsubj
8	a	AUX	9	aux:tense
9	évoqué	VERB	0	root
10	la	DET	11	det
11	réforme	NOUN	9	obj
12	de	ADP	14	case
13	la	DET	14	det
14	Ligue	NOUN	11	nmod
15	arabe	ADJ	14	amod
16	en	ADP	17	mark
17	avançant	VERB	9	advcl
18	que	SCONJ	23	mark
19	des	DET	20	det
20	efforts	NOUN	23	nsubj:pass
21	ont	AUX	23	aux:tense
22	été	AUX	23	aux:pass
23	réalisés	VERB	17	ccomp:obj
24	pour	ADP	25	mark
25	donner	VERB	23	advcl
26	de	ADP	28	det
27	l'	DET	26	fixed
28	efficacité	NOUN	25	obj
29	aux	_	None	_
30	à	ADP	31	case
31	les	DET	31	det
32	actions	NOUN	28	nmod
33	communes	ADJ	31	amod
34	.	PUNCT	9	punct