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:
Camelia Potec, née le 19 février 1982 à Brăila, est une nageuse roumaine entraînée par le Français Philippe Lucas.
Postion	Tokenization
1	Camelia
2	Potec
3	,
4	née
5	le
6	19
7	février
8	1982
9	à
10	Brăila
11	,
12	est
13	une
14	nageuse
15	roumaine
16	entraînée
17	par
18	le
19	Français
20	Philippe
21	Lucas
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Camelia	PROPN	14	nsubj
2	Potec	PROPN	1	flat:name
3	,	PUNCT	4	punct
4	née	VERB	1	acl
5	le	DET	6	det
6	19	NUM	4	obl:arg
7	février	NOUN	6	nmod
8	1982	NUM	7	nmod
9	à	ADP	10	case
10	Brăila	PROPN	4	obl:arg
11	,	PUNCT	4	punct
12	est	AUX	14	cop
13	une	DET	14	det
14	nageuse	NOUN	0	root
15	roumaine	ADJ	14	amod
16	entraînée	VERB	14	acl
17	par	ADP	19	case
18	le	DET	19	det
19	Français	NOUN	16	obl:agent
20	Philippe	PROPN	19	appos
21	Lucas	PROPN	20	flat:name
22	.	PUNCT	14	punct