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:
Béby Frediani, ou Aristodemo Frediani, est un clown d'origine italienne, né à Bielefeld (Allemagne) en 1880, mort à Castres (Tarn) en 1958.
Postion	Tokenization
1	Béby
2	Frediani
3	,
4	ou
5	Aristodemo
6	Frediani
7	,
8	est
9	un
10	clown
11	d'
12	origine
13	italienne
14	,
15	né
16	à
17	Bielefeld
18	(
19	Allemagne
20	)
21	en
22	1880
23	,
24	mort
25	à
26	Castres
27	(
28	Tarn
29	)
30	en
31	1958
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Béby	PROPN	10	nsubj
2	Frediani	PROPN	1	flat:name
3	,	PUNCT	5	punct
4	ou	CCONJ	5	cc
5	Aristodemo	PROPN	1	conj
6	Frediani	PROPN	5	flat:name
7	,	PUNCT	5	punct
8	est	AUX	10	cop
9	un	DET	10	det
10	clown	NOUN	0	root
11	d'	ADP	12	case
12	origine	NOUN	10	nmod
13	italienne	ADJ	12	amod
14	,	PUNCT	15	punct
15	né	VERB	10	acl
16	à	ADP	17	case
17	Bielefeld	PROPN	15	obl:arg
18	(	PUNCT	19	punct
19	Allemagne	PROPN	17	nmod
20	)	PUNCT	19	punct
21	en	ADP	22	case
22	1880	NUM	15	obl:arg
23	,	PUNCT	24	punct
24	mort	VERB	15	conj
25	à	ADP	26	case
26	Castres	PROPN	24	obl:arg
27	(	PUNCT	28	punct
28	Tarn	PROPN	26	nmod
29	)	PUNCT	28	punct
30	en	ADP	31	case
31	1958	NUM	24	obl:arg
32	.	PUNCT	10	punct