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:
« Ces sculptures végétales magistrales sont exposées de manière permanente dans l'espace nommé Urban Garden Room du nouveau siège social de Bank of America à New York.
Postion	Tokenization
1	«
2	Ces
3	sculptures
4	végétales
5	magistrales
6	sont
7	exposées
8	de
9	manière
10	permanente
11	dans
12	l'
13	espace
14	nommé
15	Urban
16	Garden
17	Room
18	du
19	de
20	le
21	nouveau
22	siège
23	social
24	de
25	Bank
26	of
27	America
28	à
29	New
30	York
31	.
Position	Tokenization	UPOS	Head	Deprel
1	«	PUNCT	7	punct
2	Ces	DET	3	det
3	sculptures	NOUN	7	nsubj
4	végétales	ADJ	3	amod
5	magistrales	ADJ	3	amod
6	sont	AUX	7	aux:tense
7	exposées	VERB	0	root
8	de	ADP	9	case
9	manière	NOUN	7	obl:mod
10	permanente	ADJ	9	amod
11	dans	ADP	13	case
12	l'	DET	13	det
13	espace	NOUN	7	obl:mod
14	nommé	VERB	13	acl
15	Urban	PROPN	14	obj
16	Garden	PROPN	15	flat:name
17	Room	PROPN	16	flat:name
18	du	_	None	_
19	de	ADP	21	case
20	le	DET	21	det
21	nouveau	ADJ	21	amod
22	siège	NOUN	13	nmod
23	social	ADJ	21	amod
24	de	ADP	24	case
25	Bank	X	21	nmod
26	of	X	24	flat:name
27	America	X	25	flat:name
28	à	ADP	28	case
29	New	PROPN	21	nmod
30	York	PROPN	28	flat:name
31	.	PUNCT	7	punct