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:
Et comme l'humour et l'absurde furent également de la partie, on comprend mieux pourquoi les visages des spectateurs étaient aussi rayonnants à la sortie du théâtre.
Postion	Tokenization
1	Et
2	comme
3	l'
4	humour
5	et
6	l'
7	absurde
8	furent
9	également
10	de
11	la
12	partie
13	,
14	on
15	comprend
16	mieux
17	pourquoi
18	les
19	visages
20	des
21	de
22	les
23	spectateurs
24	étaient
25	aussi
26	rayonnants
27	à
28	la
29	sortie
30	du
31	de
32	le
33	théâtre
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Et	CCONJ	15	cc
2	comme	SCONJ	12	mark
3	l'	DET	4	det
4	humour	NOUN	12	nsubj
5	et	CCONJ	7	cc
6	l'	DET	7	det
7	absurde	NOUN	4	conj
8	furent	AUX	12	cop
9	également	ADV	12	advmod
10	de	ADP	12	case
11	la	DET	12	det
12	partie	NOUN	15	advcl
13	,	PUNCT	12	punct
14	on	PRON	15	nsubj
15	comprend	VERB	0	root
16	mieux	ADV	15	advmod
17	pourquoi	ADV	25	advmod
18	les	DET	19	det
19	visages	NOUN	25	nsubj
20	des	_	None	_
21	de	ADP	22	case
22	les	DET	22	det
23	spectateurs	NOUN	19	nmod
24	étaient	AUX	25	cop
25	aussi	ADV	25	advmod
26	rayonnants	ADJ	15	advcl
27	à	ADP	28	case
28	la	DET	28	det
29	sortie	NOUN	25	obl:mod
30	du	_	None	_
31	de	ADP	31	case
32	le	DET	31	det
33	théâtre	NOUN	28	nmod
34	.	PUNCT	15	punct