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:
En France la clématite'ville de Lyon'est distribuée par plusieurs pépinières dont les pépinières TRAVERS, spécialiste des plantes grimpantes.
Postion	Tokenization
1	En
2	France
3	la
4	clématite
5	'
6	ville
7	de
8	Lyon
9	'
10	est
11	distribuée
12	par
13	plusieurs
14	pépinières
15	dont
16	les
17	pépinières
18	TRAVERS
19	,
20	spécialiste
21	des
22	de
23	les
24	plantes
25	grimpantes
26	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	France	PROPN	11	obl:mod
3	la	DET	4	det
4	clématite	NOUN	11	nsubj:pass
5	'	PUNCT	6	punct
6	ville	NOUN	4	appos
7	de	ADP	8	case
8	Lyon	PROPN	6	nmod
9	'	PUNCT	6	punct
10	est	AUX	11	aux:pass
11	distribuée	VERB	0	root
12	par	ADP	14	case
13	plusieurs	DET	14	det
14	pépinières	NOUN	11	obl:agent
15	dont	PRON	17	nmod
16	les	DET	17	det
17	pépinières	NOUN	14	acl:relcl
18	TRAVERS	PROPN	17	appos
19	,	PUNCT	20	punct
20	spécialiste	NOUN	17	appos
21	des	_	None	_
22	de	ADP	23	case
23	les	DET	23	det
24	plantes	NOUN	20	nmod
25	grimpantes	ADJ	23	amod
26	.	PUNCT	11	punct