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:
Cette même année, LeCroy introduisit un analyseur de protocole dédié au LAN nommé NEWSLine et renforça cette activité via l'acquisition de Digitech Industries spécialisée dans les protocoles de télécommunications.
Postion	Tokenization
1	Cette
2	même
3	année
4	,
5	LeCroy
6	introduisit
7	un
8	analyseur
9	de
10	protocole
11	dédié
12	au
13	à
14	le
15	LAN
16	nommé
17	NEWSLine
18	et
19	renforça
20	cette
21	activité
22	via
23	l'
24	acquisition
25	de
26	Digitech
27	Industries
28	spécialisée
29	dans
30	les
31	protocoles
32	de
33	télécommunications
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Cette	DET	3	det
2	même	ADJ	3	amod
3	année	NOUN	6	obl:mod
4	,	PUNCT	3	punct
5	LeCroy	PROPN	6	nsubj
6	introduisit	VERB	0	root
7	un	DET	8	det
8	analyseur	NOUN	6	obj
9	de	ADP	10	case
10	protocole	NOUN	8	nmod
11	dédié	VERB	8	acl
12	au	_	None	_
13	à	ADP	14	case
14	le	DET	14	det
15	LAN	NOUN	11	obl:arg
16	nommé	VERB	8	acl
17	NEWSLine	PROPN	15	xcomp:pred
18	et	CCONJ	18	cc
19	renforça	VERB	6	conj
20	cette	DET	20	det
21	activité	NOUN	18	obj
22	via	ADP	23	case
23	l'	DET	23	det
24	acquisition	NOUN	18	obl:mod
25	de	ADP	25	case
26	Digitech	PROPN	23	nmod
27	Industries	PROPN	25	flat:name
28	spécialisée	VERB	25	acl
29	dans	ADP	30	case
30	les	DET	30	det
31	protocoles	NOUN	27	obl:arg
32	de	ADP	32	case
33	télécommunications	NOUN	30	nmod
34	.	PUNCT	6	punct