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:
Cependant, c'est la partie forestière qui fait la célébrité du site, la forêt étant particulièrement ancienne, avec une richesse biologique digne de celle d'une forêt primaire.
Postion	Tokenization
1	Cependant
2	,
3	c'
4	est
5	la
6	partie
7	forestière
8	qui
9	fait
10	la
11	célébrité
12	du
13	de
14	le
15	site
16	,
17	la
18	forêt
19	étant
20	particulièrement
21	ancienne
22	,
23	avec
24	une
25	richesse
26	biologique
27	digne
28	de
29	celle
30	d'
31	une
32	forêt
33	primaire
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Cependant	ADV	6	advmod
2	,	PUNCT	1	punct
3	c'	PRON	6	expl:subj
4	est	AUX	6	cop
5	la	DET	6	det
6	partie	NOUN	0	root
7	forestière	ADJ	6	amod
8	qui	PRON	9	nsubj
9	fait	VERB	6	advcl:cleft
10	la	DET	11	det
11	célébrité	NOUN	9	obj
12	du	_	None	_
13	de	ADP	14	case
14	le	DET	14	det
15	site	NOUN	11	nmod
16	,	PUNCT	20	punct
17	la	DET	17	det
18	forêt	NOUN	20	nsubj
19	étant	AUX	20	cop
20	particulièrement	ADV	20	advmod
21	ancienne	ADJ	6	advcl
22	,	PUNCT	24	punct
23	avec	ADP	24	case
24	une	DET	24	det
25	richesse	NOUN	20	obl:mod
26	biologique	ADJ	24	amod
27	digne	ADJ	24	amod
28	de	ADP	28	case
29	celle	PRON	26	obl:arg
30	d'	ADP	31	case
31	une	DET	31	det
32	forêt	NOUN	28	nmod
33	primaire	ADJ	31	amod
34	.	PUNCT	6	punct