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:
Le roi Charles V accepte finalement de confirmer les privilèges de la ville en novembre, lui donnant ainsi une grande indépendance vis-à-vis du pouvoir royal.
Postion	Tokenization
1	Le
2	roi
3	Charles
4	V
5	accepte
6	finalement
7	de
8	confirmer
9	les
10	privilèges
11	de
12	la
13	ville
14	en
15	novembre
16	,
17	lui
18	donnant
19	ainsi
20	une
21	grande
22	indépendance
23	vis-à-vis
24	du
25	de
26	le
27	pouvoir
28	royal
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	roi	NOUN	5	nsubj
3	Charles	PROPN	2	appos
4	V	NUM	3	nmod
5	accepte	VERB	0	root
6	finalement	ADV	5	advmod
7	de	ADP	8	mark
8	confirmer	VERB	5	xcomp:obj
9	les	DET	10	det
10	privilèges	NOUN	8	obj
11	de	ADP	13	case
12	la	DET	13	det
13	ville	NOUN	10	nmod
14	en	ADP	15	case
15	novembre	NOUN	8	obl:mod
16	,	PUNCT	18	punct
17	lui	PRON	18	obl:arg
18	donnant	VERB	5	advcl
19	ainsi	ADV	18	advmod
20	une	DET	22	det
21	grande	ADJ	22	amod
22	indépendance	NOUN	18	obj
23	vis-à-vis	ADV	22	advmod
24	du	_	None	_
25	de	ADP	26	case
26	le	DET	26	det
27	pouvoir	NOUN	23	obl:arg
28	royal	ADJ	26	amod
29	.	PUNCT	5	punct