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:
Toutefois, cette stratégie leur permet d'obtenir, pour Stéphane Nissant, le poste au BN que Christophe Borgel leur avait refusé.
Postion	Tokenization
1	Toutefois
2	,
3	cette
4	stratégie
5	leur
6	permet
7	d'
8	obtenir
9	,
10	pour
11	Stéphane
12	Nissant
13	,
14	le
15	poste
16	au
17	à
18	le
19	BN
20	que
21	Christophe
22	Borgel
23	leur
24	avait
25	refusé
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Toutefois	ADV	6	advmod
2	,	PUNCT	1	punct
3	cette	DET	4	det
4	stratégie	NOUN	6	nsubj
5	leur	PRON	6	obl:arg
6	permet	VERB	0	root
7	d'	ADP	8	mark
8	obtenir	VERB	6	xcomp:obj
9	,	PUNCT	11	punct
10	pour	ADP	11	case
11	Stéphane	PROPN	8	obl:mod
12	Nissant	PROPN	11	flat:name
13	,	PUNCT	15	punct
14	le	DET	15	det
15	poste	NOUN	8	obj
16	au	_	None	_
17	à	ADP	18	case
18	le	DET	18	det
19	BN	PROPN	15	nmod
20	que	PRON	24	obj
21	Christophe	PROPN	24	nsubj
22	Borgel	PROPN	20	flat:name
23	leur	PRON	24	obl:arg
24	avait	AUX	24	aux:tense
25	refusé	VERB	15	acl:relcl
26	.	PUNCT	6	punct