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:
Bien qu'il ait eu un fils, Damien, Satan est homosexuel et a eu de nombreuses relations avec Saddam Hussein (dans South Park, le film : Plus long, plus grand et pas coupé et dans le story arc Les handicapés vont-ils en enfer ?/Probablement !).
Postion	Tokenization
1	Bien
2	qu'
3	il
4	ait
5	eu
6	un
7	fils
8	,
9	Damien
10	,
11	Satan
12	est
13	homosexuel
14	et
15	a
16	eu
17	de
18	nombreuses
19	relations
20	avec
21	Saddam
22	Hussein
23	(
24	dans
25	South
26	Park
27	,
28	le
29	film
30	:
31	Plus
32	long
33	,
34	plus
35	grand
36	et
37	pas
38	coupé
39	et
40	dans
41	le
42	story
43	arc
44	Les
45	handicapés
46	vont
47	-ils
48	en
49	enfer
50	?
51	/
52	Probablement
53	!
54	)
55	.
Position	Tokenization	UPOS	Head	Deprel
1	Bien	ADV	5	mark
2	qu'	SCONJ	1	fixed
3	il	PRON	5	nsubj
4	ait	AUX	5	aux:tense
5	eu	VERB	13	advcl
6	un	DET	7	det
7	fils	NOUN	5	obj
8	,	PUNCT	9	punct
9	Damien	PROPN	7	appos
10	,	PUNCT	5	punct
11	Satan	PROPN	13	nsubj
12	est	AUX	13	cop
13	homosexuel	ADJ	0	root
14	et	CCONJ	16	cc
15	a	AUX	16	aux:tense
16	eu	VERB	13	conj
17	de	DET	19	det
18	nombreuses	ADJ	19	amod
19	relations	NOUN	16	obj
20	avec	ADP	21	case
21	Saddam	PROPN	19	nmod
22	Hussein	PROPN	21	flat:name
23	(	PUNCT	25	punct
24	dans	ADP	25	case
25	South	PROPN	13	obl:mod
26	Park	PROPN	25	flat:name
27	,	PUNCT	29	punct
28	le	DET	29	det
29	film	NOUN	25	appos
30	:	PUNCT	32	punct
31	Plus	ADV	32	advmod
32	long	ADJ	29	appos
33	,	PUNCT	35	punct
34	plus	ADV	35	advmod
35	grand	ADJ	32	conj
36	et	CCONJ	38	cc
37	pas	ADV	38	advmod
38	coupé	VERB	32	conj
39	et	CCONJ	43	cc
40	dans	ADP	43	case
41	le	DET	43	det
42	story	NOUN	43	nmod
43	arc	NOUN	25	conj
44	Les	DET	45	det
45	handicapés	NOUN	46	nsubj
46	vont	VERB	43	appos
47	-ils	PRON	46	expl:subj
48	en	ADP	49	case
49	enfer	NOUN	46	obl:mod
50	?	PUNCT	46	punct
51	/	SYM	52	advmod
52	Probablement	ADV	46	parataxis
53	!	PUNCT	52	punct
54	)	PUNCT	25	punct
55	.	PUNCT	13	punct