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:
Ainsi quand Matt Bradley va se plaindre qu'il risque de passer Noël en prison il va décorer le ciré de Matt avec des bandes noires (saison 3 épisode 5).
Postion	Tokenization
1	Ainsi
2	quand
3	Matt
4	Bradley
5	va
6	se
7	plaindre
8	qu'
9	il
10	risque
11	de
12	passer
13	Noël
14	en
15	prison
16	il
17	va
18	décorer
19	le
20	ciré
21	de
22	Matt
23	avec
24	des
25	bandes
26	noires
27	(
28	saison
29	3
30	épisode
31	5
32	)
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Ainsi	ADV	17	advmod
2	quand	SCONJ	5	mark
3	Matt	PROPN	5	nsubj
4	Bradley	PROPN	3	flat:name
5	va	VERB	17	advcl
6	se	PRON	7	dep:comp
7	plaindre	VERB	5	xcomp:obj
8	qu'	SCONJ	10	mark
9	il	PRON	10	nsubj
10	risque	VERB	7	ccomp:obj
11	de	ADP	12	mark
12	passer	VERB	10	xcomp:obj
13	Noël	PROPN	12	obj
14	en	ADP	15	case
15	prison	NOUN	12	obl:mod
16	il	PRON	17	nsubj
17	va	VERB	0	root
18	décorer	VERB	17	xcomp:obj
19	le	DET	20	det
20	ciré	NOUN	18	obj
21	de	ADP	22	case
22	Matt	PROPN	20	nmod
23	avec	ADP	25	case
24	des	DET	25	det
25	bandes	NOUN	18	obl:arg
26	noires	ADJ	25	amod
27	(	PUNCT	28	punct
28	saison	NOUN	17	obl:mod
29	3	NUM	28	nmod
30	épisode	NOUN	28	conj
31	5	NUM	30	nmod
32	)	PUNCT	28	punct
33	.	PUNCT	17	punct