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:
L'entreprise, née de la fusion de trois sociétés sidérurugiques luxembourgeoises, va devenir le fleuron de l'industrie du grand-duché.
Postion	Tokenization
1	L'
2	entreprise
3	,
4	née
5	de
6	la
7	fusion
8	de
9	trois
10	sociétés
11	sidérurugiques
12	luxembourgeoises
13	,
14	va
15	devenir
16	le
17	fleuron
18	de
19	l'
20	industrie
21	du
22	de
23	le
24	grand-duché
25	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	entreprise	NOUN	14	nsubj
3	,	PUNCT	4	punct
4	née	VERB	2	acl
5	de	ADP	7	case
6	la	DET	7	det
7	fusion	NOUN	4	obl:mod
8	de	ADP	10	case
9	trois	NUM	10	nummod
10	sociétés	NOUN	7	nmod
11	sidérurugiques	ADJ	10	amod
12	luxembourgeoises	ADJ	10	amod
13	,	PUNCT	4	punct
14	va	VERB	0	root
15	devenir	VERB	14	xcomp:obj
16	le	DET	17	det
17	fleuron	NOUN	15	xcomp:pred
18	de	ADP	20	case
19	l'	DET	20	det
20	industrie	NOUN	17	nmod
21	du	_	None	_
22	de	ADP	23	case
23	le	DET	23	det
24	grand-duché	NOUN	20	nmod
25	.	PUNCT	14	punct