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 monopole ne fut pas respecté, avec la création d'autres manufacture de bas de soie à Lyon et Orange en 1662 puis à Nîmes, Montauban et Chambéry.
Postion	Tokenization
1	Le
2	monopole
3	ne
4	fut
5	pas
6	respecté
7	,
8	avec
9	la
10	création
11	d'
12	autres
13	manufacture
14	de
15	bas
16	de
17	soie
18	à
19	Lyon
20	et
21	Orange
22	en
23	1662
24	puis
25	à
26	Nîmes
27	,
28	Montauban
29	et
30	Chambéry
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	monopole	NOUN	6	nsubj:pass
3	ne	ADV	6	advmod
4	fut	AUX	6	aux:pass
5	pas	ADV	6	advmod
6	respecté	VERB	0	root
7	,	PUNCT	10	punct
8	avec	ADP	10	case
9	la	DET	10	det
10	création	NOUN	6	obl:mod
11	d'	ADP	13	case
12	autres	ADJ	13	amod
13	manufacture	NOUN	10	nmod
14	de	ADP	15	case
15	bas	NOUN	13	nmod
16	de	ADP	17	case
17	soie	NOUN	15	nmod
18	à	ADP	19	case
19	Lyon	PROPN	13	nmod
20	et	CCONJ	21	cc
21	Orange	PROPN	19	conj
22	en	ADP	23	case
23	1662	NUM	19	nmod
24	puis	ADV	26	cc
25	à	ADP	26	case
26	Nîmes	PROPN	19	conj
27	,	PUNCT	28	punct
28	Montauban	PROPN	26	conj
29	et	CCONJ	30	cc
30	Chambéry	PROPN	26	conj
31	.	PUNCT	6	punct