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:
Ses travaux comptent parmi les plus importants du courant fonctionnaliste danois, lequel, à l'instar de Le Corbusier ou Walter Gropius, prônait une architecture rationnelle et fonctionnelle.
Postion	Tokenization
1	Ses
2	travaux
3	comptent
4	parmi
5	les
6	plus
7	importants
8	du
9	de
10	le
11	courant
12	fonctionnaliste
13	danois
14	,
15	lequel
16	,
17	à
18	l'
19	instar
20	de
21	Le
22	Corbusier
23	ou
24	Walter
25	Gropius
26	,
27	prônait
28	une
29	architecture
30	rationnelle
31	et
32	fonctionnelle
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Ses	DET	2	det
2	travaux	NOUN	3	nsubj
3	comptent	VERB	0	root
4	parmi	ADP	7	case
5	les	DET	7	det
6	plus	ADV	7	advmod
7	importants	ADJ	3	obl:arg
8	du	_	None	_
9	de	ADP	10	case
10	le	DET	10	det
11	courant	NOUN	7	nmod
12	fonctionnaliste	ADJ	10	amod
13	danois	ADJ	10	amod
14	,	PUNCT	26	punct
15	lequel	PRON	26	nsubj
16	,	PUNCT	14	punct
17	à	ADP	18	case
18	l'	DET	18	det
19	instar	NOUN	26	obl:mod
20	de	ADP	21	case
21	Le	DET	21	det
22	Corbusier	PROPN	18	nmod
23	ou	CCONJ	23	cc
24	Walter	PROPN	21	conj
25	Gropius	PROPN	23	flat:name
26	,	PUNCT	18	punct
27	prônait	VERB	10	acl:relcl
28	une	DET	28	det
29	architecture	NOUN	26	obj
30	rationnelle	ADJ	28	amod
31	et	CCONJ	31	cc
32	fonctionnelle	ADJ	29	conj
33	.	PUNCT	3	punct