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:
On le voit encore donner son suffrage à l'élection de Frédéric, margrave de Misnie, puis, en 1349, à celle de Charles Gonthier de Schwartzbourg (Maison de Schwarzbourg).
Postion	Tokenization
1	On
2	le
3	voit
4	encore
5	donner
6	son
7	suffrage
8	à
9	l'
10	élection
11	de
12	Frédéric
13	,
14	margrave
15	de
16	Misnie
17	,
18	puis
19	,
20	en
21	1349
22	,
23	à
24	celle
25	de
26	Charles
27	Gonthier
28	de
29	Schwartzbourg
30	(
31	Maison
32	de
33	Schwarzbourg
34	)
35	.
Position	Tokenization	UPOS	Head	Deprel
1	On	PRON	3	nsubj
2	le	PRON	3	obj
3	voit	VERB	0	root
4	encore	ADV	3	advmod
5	donner	VERB	3	xcomp:obj
6	son	DET	7	det
7	suffrage	NOUN	5	obj
8	à	ADP	10	case
9	l'	DET	10	det
10	élection	NOUN	5	obl:mod
11	de	ADP	12	case
12	Frédéric	PROPN	10	nmod
13	,	PUNCT	14	punct
14	margrave	NOUN	12	appos
15	de	ADP	16	case
16	Misnie	PROPN	14	nmod
17	,	PUNCT	24	punct
18	puis	ADV	24	cc
19	,	PUNCT	18	punct
20	en	ADP	21	case
21	1349	NUM	24	nmod
22	,	PUNCT	21	punct
23	à	ADP	24	case
24	celle	PRON	10	conj
25	de	ADP	26	case
26	Charles	PROPN	24	nmod
27	Gonthier	PROPN	26	flat:name
28	de	ADP	29	case
29	Schwartzbourg	PROPN	26	nmod
30	(	PUNCT	31	punct
31	Maison	PROPN	26	nmod
32	de	ADP	33	case
33	Schwarzbourg	PROPN	31	nmod
34	)	PUNCT	31	punct
35	.	PUNCT	3	punct