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:
Pour souligner les 35 ans du Théâtre du Trillium, la directrice artistique Anne-Marie White a décidé de faire éclater le quatrième mur entre les artistes et le public.
Postion	Tokenization
1	Pour
2	souligner
3	les
4	35
5	ans
6	du
7	de
8	le
9	Théâtre
10	du
11	de
12	le
13	Trillium
14	,
15	la
16	directrice
17	artistique
18	Anne-Marie
19	White
20	a
21	décidé
22	de
23	faire
24	éclater
25	le
26	quatrième
27	mur
28	entre
29	les
30	artistes
31	et
32	le
33	public
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Pour	ADP	2	mark
2	souligner	VERB	19	advcl
3	les	DET	5	det
4	35	NUM	5	nummod
5	ans	NOUN	2	obj
6	du	_	None	_
7	de	ADP	8	case
8	le	DET	8	det
9	Théâtre	NOUN	5	nmod
10	du	_	None	_
11	de	ADP	11	case
12	le	DET	11	det
13	Trillium	PROPN	8	nmod
14	,	PUNCT	2	punct
15	la	DET	14	det
16	directrice	NOUN	19	nsubj
17	artistique	ADJ	14	amod
18	Anne-Marie	PROPN	14	appos
19	White	PROPN	16	flat:name
20	a	AUX	19	aux:tense
21	décidé	VERB	0	root
22	de	ADP	22	mark
23	faire	AUX	22	aux:caus
24	éclater	VERB	19	xcomp:obj
25	le	DET	25	det
26	quatrième	ADJ	25	amod
27	mur	NOUN	22	obj:agent
28	entre	ADP	28	case
29	les	DET	28	det
30	artistes	NOUN	25	nmod
31	et	CCONJ	31	cc
32	le	DET	31	det
33	public	NOUN	28	conj
34	.	PUNCT	19	punct