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:
Ramart est un personnage de l'univers de fiction de Star Trek, et plus particulièrement de la série originale, interprété par l'acteur Charles Stewart.
Postion	Tokenization
1	Ramart
2	est
3	un
4	personnage
5	de
6	l'
7	univers
8	de
9	fiction
10	de
11	Star
12	Trek
13	,
14	et
15	plus
16	particulièrement
17	de
18	la
19	série
20	originale
21	,
22	interprété
23	par
24	l'
25	acteur
26	Charles
27	Stewart
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Ramart	PROPN	4	nsubj
2	est	AUX	4	cop
3	un	DET	4	det
4	personnage	NOUN	0	root
5	de	ADP	7	case
6	l'	DET	7	det
7	univers	NOUN	4	nmod
8	de	ADP	9	case
9	fiction	NOUN	7	nmod
10	de	ADP	11	case
11	Star	PROPN	7	nmod
12	Trek	PROPN	11	flat:name
13	,	PUNCT	19	punct
14	et	CCONJ	19	cc
15	plus	ADV	16	advmod
16	particulièrement	ADV	19	advmod
17	de	ADP	19	case
18	la	DET	19	det
19	série	NOUN	7	conj
20	originale	ADJ	19	amod
21	,	PUNCT	22	punct
22	interprété	VERB	4	acl
23	par	ADP	25	case
24	l'	DET	25	det
25	acteur	NOUN	22	obl:agent
26	Charles	PROPN	25	appos
27	Stewart	PROPN	26	flat:name
28	.	PUNCT	4	punct