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:
Selon Lacroix, 40% de son vocabulaire est songhaï et 30% issu de l'arabe et du berbère.
Postion	Tokenization
1	Selon
2	Lacroix
3	,
4	40
5	%
6	de
7	son
8	vocabulaire
9	est
10	songhaï
11	et
12	30
13	%
14	issu
15	de
16	l'
17	arabe
18	et
19	du
20	de
21	le
22	berbère
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Selon	ADP	2	case
2	Lacroix	PROPN	10	obl:mod
3	,	PUNCT	2	punct
4	40	NUM	5	nummod
5	%	SYM	10	nsubj
6	de	ADP	8	case
7	son	DET	8	det
8	vocabulaire	NOUN	5	nmod
9	est	AUX	10	cop
10	songhaï	ADJ	0	root
11	et	CCONJ	14	cc
12	30	NUM	13	nummod
13	%	SYM	14	orphan
14	issu	ADJ	10	conj
15	de	ADP	17	case
16	l'	DET	17	det
17	arabe	NOUN	14	obl:arg
18	et	CCONJ	21	cc
19	du	_	None	_
20	de	ADP	21	case
21	le	DET	21	det
22	berbère	NOUN	17	conj
23	.	PUNCT	10	punct