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 musée Maxim's présente la première collection privée française d'art 1900 : plus de 750 meubles et objets d'art en situation dans un appartement de 350 m² sur deux étages.
Postion	Tokenization
1	Le
2	musée
3	Maxim's
4	présente
5	la
6	première
7	collection
8	privée
9	française
10	d'
11	art
12	1900
13	:
14	plus
15	de
16	750
17	meubles
18	et
19	objets
20	d'
21	art
22	en
23	situation
24	dans
25	un
26	appartement
27	de
28	350
29	m²
30	sur
31	deux
32	étages
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	musée	NOUN	4	nsubj
3	Maxim's	PROPN	2	appos
4	présente	VERB	0	root
5	la	DET	7	det
6	première	ADJ	7	amod
7	collection	NOUN	4	obj
8	privée	ADJ	7	amod
9	française	ADJ	7	amod
10	d'	ADP	11	case
11	art	NOUN	7	nmod
12	1900	NUM	11	nmod
13	:	PUNCT	14	punct
14	plus	ADV	7	appos
15	de	ADP	17	case
16	750	NUM	17	nummod
17	meubles	NOUN	14	dep:comp
18	et	CCONJ	19	cc
19	objets	NOUN	17	conj
20	d'	ADP	21	case
21	art	NOUN	19	nmod
22	en	ADP	23	case
23	situation	NOUN	17	nmod
24	dans	ADP	26	case
25	un	DET	26	det
26	appartement	NOUN	17	nmod
27	de	ADP	29	case
28	350	NUM	29	nummod
29	m²	NOUN	26	nmod
30	sur	ADP	32	case
31	deux	NUM	32	nummod
32	étages	NOUN	26	nmod
33	.	PUNCT	4	punct