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:
Elle était fort connue dans le milieu des géologues pour ses connaissances sur les fossiles de poissons tout comme pour sa vaste collection de spécimens ;
Postion	Tokenization
1	Elle
2	était
3	fort
4	connue
5	dans
6	le
7	milieu
8	des
9	de
10	les
11	géologues
12	pour
13	ses
14	connaissances
15	sur
16	les
17	fossiles
18	de
19	poissons
20	tout
21	comme
22	pour
23	sa
24	vaste
25	collection
26	de
27	spécimens
28	;
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	4	nsubj:pass
2	était	AUX	4	aux:pass
3	fort	ADV	4	advmod
4	connue	VERB	0	root
5	dans	ADP	7	case
6	le	DET	7	det
7	milieu	NOUN	4	obl:mod
8	des	_	None	_
9	de	ADP	10	case
10	les	DET	10	det
11	géologues	NOUN	7	nmod
12	pour	ADP	13	case
13	ses	DET	13	det
14	connaissances	NOUN	4	obl:mod
15	sur	ADP	16	case
16	les	DET	16	det
17	fossiles	NOUN	13	nmod
18	de	ADP	18	case
19	poissons	NOUN	16	nmod
20	tout	ADV	24	advmod
21	comme	SCONJ	24	cc
22	pour	ADP	24	case
23	sa	DET	24	det
24	vaste	ADJ	24	amod
25	collection	NOUN	13	conj
26	de	ADP	26	case
27	spécimens	NOUN	24	nmod
28	;	PUNCT	4	punct