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:
Or, dans cette affaire, on a transféré sur les salariés le coût de leur défense, ce qui est malheureusement un phénomène que l'on observe de plus en plus en France.
Postion	Tokenization
1	Or
2	,
3	dans
4	cette
5	affaire
6	,
7	on
8	a
9	transféré
10	sur
11	les
12	salariés
13	le
14	coût
15	de
16	leur
17	défense
18	,
19	ce
20	qui
21	est
22	malheureusement
23	un
24	phénomène
25	que
26	l'
27	on
28	observe
29	de
30	plus
31	en
32	plus
33	en
34	France
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Or	CCONJ	9	cc
2	,	PUNCT	1	punct
3	dans	ADP	5	case
4	cette	DET	5	det
5	affaire	NOUN	9	obl:mod
6	,	PUNCT	5	punct
7	on	PRON	9	nsubj
8	a	AUX	9	aux:tense
9	transféré	VERB	0	root
10	sur	ADP	12	case
11	les	DET	12	det
12	salariés	NOUN	9	obl:mod
13	le	DET	14	det
14	coût	NOUN	9	obj
15	de	ADP	17	case
16	leur	DET	17	det
17	défense	NOUN	14	nmod
18	,	PUNCT	19	punct
19	ce	PRON	9	parataxis
20	qui	PRON	24	nsubj
21	est	AUX	24	cop
22	malheureusement	ADV	24	advmod
23	un	DET	24	det
24	phénomène	NOUN	19	acl:relcl
25	que	PRON	28	obj
26	l'	DET	28	nsubj
27	on	PRON	26	fixed
28	observe	VERB	24	acl:relcl
29	de	ADP	28	advmod
30	plus	ADV	29	fixed
31	en	ADP	29	fixed
32	plus	ADV	29	fixed
33	en	ADP	34	case
34	France	PROPN	28	obl:mod
35	.	PUNCT	9	punct