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:
Elle permet également de développer les échanges avec la côte méditerranéenne (Béziers, Sète et Marseille) en écoulant les textiles et les cuirs des tanneries de Bédarieux.
Postion	Tokenization
1	Elle
2	permet
3	également
4	de
5	développer
6	les
7	échanges
8	avec
9	la
10	côte
11	méditerranéenne
12	(
13	Béziers
14	,
15	Sète
16	et
17	Marseille
18	)
19	en
20	écoulant
21	les
22	textiles
23	et
24	les
25	cuirs
26	des
27	de
28	les
29	tanneries
30	de
31	Bédarieux
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	2	nsubj
2	permet	VERB	0	root
3	également	ADV	2	advmod
4	de	ADP	5	mark
5	développer	VERB	2	xcomp:obj
6	les	DET	7	det
7	échanges	NOUN	5	obj
8	avec	ADP	10	case
9	la	DET	10	det
10	côte	NOUN	7	nmod
11	méditerranéenne	ADJ	10	amod
12	(	PUNCT	13	punct
13	Béziers	PROPN	10	appos
14	,	PUNCT	15	punct
15	Sète	PROPN	13	conj
16	et	CCONJ	17	cc
17	Marseille	PROPN	13	conj
18	)	PUNCT	13	punct
19	en	ADP	20	mark
20	écoulant	VERB	5	advcl
21	les	DET	22	det
22	textiles	NOUN	20	obj
23	et	CCONJ	25	cc
24	les	DET	25	det
25	cuirs	NOUN	22	conj
26	des	_	None	_
27	de	ADP	28	case
28	les	DET	28	det
29	tanneries	NOUN	22	nmod
30	de	ADP	30	case
31	Bédarieux	PROPN	28	nmod
32	.	PUNCT	2	punct