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:
Convaincu de la responsabilité du prince de Condé dans l'embrasement de la province, le roi le fait venir à la cour et le 31 octobre 1560, le fait arrêter.
Postion	Tokenization
1	Convaincu
2	de
3	la
4	responsabilité
5	du
6	de
7	le
8	prince
9	de
10	Condé
11	dans
12	l'
13	embrasement
14	de
15	la
16	province
17	,
18	le
19	roi
20	le
21	fait
22	venir
23	à
24	la
25	cour
26	et
27	le
28	31
29	octobre
30	1560
31	,
32	le
33	fait
34	arrêter
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Convaincu	VERB	21	advcl
2	de	ADP	4	case
3	la	DET	4	det
4	responsabilité	NOUN	1	obl:arg
5	du	_	None	_
6	de	ADP	7	case
7	le	DET	7	det
8	prince	NOUN	4	nmod
9	de	ADP	9	case
10	Condé	PROPN	7	nmod
11	dans	ADP	12	case
12	l'	DET	12	det
13	embrasement	NOUN	1	obl:mod
14	de	ADP	15	case
15	la	DET	15	det
16	province	NOUN	12	nmod
17	,	PUNCT	1	punct
18	le	DET	18	det
19	roi	NOUN	21	nsubj:caus
20	le	PRON	21	obj:agent
21	fait	AUX	21	aux:caus
22	venir	VERB	0	root
23	à	ADP	24	case
24	la	DET	24	det
25	cour	NOUN	21	obl:arg
26	et	CCONJ	33	cc
27	le	DET	27	det
28	31	NUM	33	obl:mod
29	octobre	NOUN	27	nmod
30	1560	NUM	28	nmod
31	,	PUNCT	27	punct
32	le	PRON	33	obj
33	fait	AUX	33	aux:caus
34	arrêter	VERB	21	conj
35	.	PUNCT	21	punct