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:
De cette acquisition, LeCroy commercialisa un produit à son nom, un analyseur de composant HF nommé MCA1060 (fonction proche d'un analyseur de réseau).
Postion	Tokenization
1	De
2	cette
3	acquisition
4	,
5	LeCroy
6	commercialisa
7	un
8	produit
9	à
10	son
11	nom
12	,
13	un
14	analyseur
15	de
16	composant
17	HF
18	nommé
19	MCA1060
20	(
21	fonction
22	proche
23	d'
24	un
25	analyseur
26	de
27	réseau
28	)
29	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	3	case
2	cette	DET	3	det
3	acquisition	NOUN	6	obl:mod
4	,	PUNCT	3	punct
5	LeCroy	PROPN	6	nsubj
6	commercialisa	VERB	0	root
7	un	DET	8	det
8	produit	NOUN	6	obj
9	à	ADP	11	case
10	son	DET	11	det
11	nom	NOUN	8	nmod
12	,	PUNCT	14	punct
13	un	DET	14	det
14	analyseur	NOUN	8	appos
15	de	ADP	16	case
16	composant	NOUN	14	nmod
17	HF	X	16	appos
18	nommé	VERB	14	acl
19	MCA1060	PROPN	18	xcomp:pred
20	(	PUNCT	21	punct
21	fonction	NOUN	14	nmod
22	proche	ADJ	21	amod
23	d'	ADP	25	case
24	un	DET	25	det
25	analyseur	NOUN	22	obl:arg
26	de	ADP	27	case
27	réseau	NOUN	25	nmod
28	)	PUNCT	21	punct
29	.	PUNCT	6	punct