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:
Installée en France en 1923, elle est connue pour ses dessins en noir et blanc à l'encre de Chine tracés avec une plume Sergent-Major, ses gouaches aux couleurs vives et d'importants décors muraux.
Postion	Tokenization
1	Installée
2	en
3	France
4	en
5	1923
6	,
7	elle
8	est
9	connue
10	pour
11	ses
12	dessins
13	en
14	noir
15	et
16	blanc
17	à
18	l'
19	encre
20	de
21	Chine
22	tracés
23	avec
24	une
25	plume
26	Sergent-Major
27	,
28	ses
29	gouaches
30	aux
31	à
32	les
33	couleurs
34	vives
35	et
36	d'
37	importants
38	décors
39	muraux
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Installée	VERB	9	advcl
2	en	ADP	3	case
3	France	PROPN	1	obl:mod
4	en	ADP	5	case
5	1923	NUM	1	obl:mod
6	,	PUNCT	1	punct
7	elle	PRON	9	nsubj
8	est	AUX	9	aux:tense
9	connue	VERB	0	root
10	pour	ADP	12	case
11	ses	DET	12	det
12	dessins	NOUN	9	obl:mod
13	en	ADP	14	case
14	noir	NOUN	12	nmod
15	et	CCONJ	16	cc
16	blanc	NOUN	14	conj
17	à	ADP	19	case
18	l'	DET	19	det
19	encre	NOUN	12	nmod
20	de	ADP	21	case
21	Chine	PROPN	19	nmod
22	tracés	VERB	12	acl
23	avec	ADP	25	case
24	une	DET	25	det
25	plume	NOUN	22	obl:mod
26	Sergent-Major	PROPN	25	appos
27	,	PUNCT	29	punct
28	ses	DET	29	det
29	gouaches	NOUN	12	conj
30	aux	_	None	_
31	à	ADP	32	case
32	les	DET	32	det
33	couleurs	NOUN	29	nmod
34	vives	ADJ	32	amod
35	et	CCONJ	37	cc
36	d'	DET	37	det
37	importants	ADJ	37	amod
38	décors	NOUN	12	conj
39	muraux	ADJ	37	amod
40	.	PUNCT	9	punct