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:
La motion M-312 du député conservateur Stephen Woodworth vise à procéder à une étude de la définition de l'« être humain » qui se retrouve dans le Code criminel canadien.
Postion	Tokenization
1	La
2	motion
3	M-312
4	du
5	de
6	le
7	député
8	conservateur
9	Stephen
10	Woodworth
11	vise
12	à
13	procéder
14	à
15	une
16	étude
17	de
18	la
19	définition
20	de
21	l'
22	«
23	être
24	humain
25	»
26	qui
27	se
28	retrouve
29	dans
30	le
31	Code
32	criminel
33	canadien
34	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	motion	NOUN	10	nsubj
3	M-312	NUM	2	appos
4	du	_	None	_
5	de	ADP	6	case
6	le	DET	6	det
7	député	NOUN	2	nmod
8	conservateur	ADJ	6	amod
9	Stephen	PROPN	6	appos
10	Woodworth	PROPN	8	flat:name
11	vise	VERB	0	root
12	à	ADP	12	mark
13	procéder	VERB	10	xcomp:obl
14	à	ADP	15	case
15	une	DET	15	det
16	étude	NOUN	12	obl:arg
17	de	ADP	18	case
18	la	DET	18	det
19	définition	NOUN	15	nmod
20	de	ADP	22	case
21	l'	DET	22	det
22	«	PUNCT	22	punct
23	être	NOUN	18	nmod
24	humain	ADJ	22	amod
25	»	PUNCT	22	punct
26	qui	PRON	27	nsubj:pass
27	se	PRON	27	expl:pass
28	retrouve	VERB	18	acl:relcl
29	dans	ADP	30	case
30	le	DET	30	det
31	Code	PROPN	27	obl:arg
32	criminel	ADJ	30	amod
33	canadien	ADJ	30	amod
34	.	PUNCT	10	punct