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:
Il est ensuite élu député de la circonscription fédérale de Restigouche-Madawaska le 11 juin 1945 et gagne les élections suivantes en 1949.
Postion	Tokenization
1	Il
2	est
3	ensuite
4	élu
5	député
6	de
7	la
8	circonscription
9	fédérale
10	de
11	Restigouche-Madawaska
12	le
13	11
14	juin
15	1945
16	et
17	gagne
18	les
19	élections
20	suivantes
21	en
22	1949
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	4	nsubj:pass
2	est	AUX	4	aux:pass
3	ensuite	ADV	4	advmod
4	élu	VERB	0	root
5	député	NOUN	4	xcomp:pred
6	de	ADP	8	case
7	la	DET	8	det
8	circonscription	NOUN	5	nmod
9	fédérale	ADJ	8	amod
10	de	ADP	11	case
11	Restigouche-Madawaska	PROPN	8	nmod
12	le	DET	13	det
13	11	NUM	4	obl:mod
14	juin	NOUN	13	nmod
15	1945	NUM	14	nmod
16	et	CCONJ	17	cc
17	gagne	VERB	4	conj
18	les	DET	19	det
19	élections	NOUN	17	obj
20	suivantes	ADJ	19	amod
21	en	ADP	22	case
22	1949	NUM	17	obl:mod
23	.	PUNCT	4	punct