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:
Abi prism collection est le logiciel chargé de faire la collecte des données brutes d'électrophorèse sur le séquenceur de gène Abi prism 310.
Postion	Tokenization
1	Abi
2	prism
3	collection
4	est
5	le
6	logiciel
7	chargé
8	de
9	faire
10	la
11	collecte
12	des
13	de
14	les
15	données
16	brutes
17	d'
18	électrophorèse
19	sur
20	le
21	séquenceur
22	de
23	gène
24	Abi
25	prism
26	310
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Abi	PROPN	6	nsubj
2	prism	NOUN	1	flat:name
3	collection	NOUN	2	flat:name
4	est	AUX	6	cop
5	le	DET	6	det
6	logiciel	NOUN	0	root
7	chargé	VERB	6	acl
8	de	ADP	9	mark
9	faire	VERB	7	xcomp:obl
10	la	DET	11	det
11	collecte	NOUN	9	obj
12	des	_	None	_
13	de	ADP	14	case
14	les	DET	14	det
15	données	NOUN	11	nmod
16	brutes	ADJ	14	amod
17	d'	ADP	17	case
18	électrophorèse	NOUN	14	nmod
19	sur	ADP	20	case
20	le	DET	20	det
21	séquenceur	NOUN	9	obl:mod
22	de	ADP	22	case
23	gène	NOUN	20	nmod
24	Abi	PROPN	22	appos
25	prism	NOUN	23	flat:name
26	310	NUM	24	flat:name
27	.	PUNCT	6	punct