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:
Dan Frischman (né le 23 avril 1959 au New Jersey) est un acteur américain réputé pour son savoir-être d'acteur jouant les rôles dintellos ou de nulards.
Postion	Tokenization
1	Dan
2	Frischman
3	(
4	né
5	le
6	23
7	avril
8	1959
9	au
10	à
11	le
12	New
13	Jersey
14	)
15	est
16	un
17	acteur
18	américain
19	réputé
20	pour
21	son
22	savoir-être
23	d'
24	acteur
25	jouant
26	les
27	rôles
28	d
29	intellos
30	ou
31	de
32	nulards
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Dan	PROPN	16	nsubj
2	Frischman	PROPN	1	flat:name
3	(	PUNCT	4	punct
4	né	VERB	1	acl
5	le	DET	6	det
6	23	NUM	4	obl:arg
7	avril	NOUN	6	nmod
8	1959	NUM	7	nmod
9	au	_	None	_
10	à	ADP	11	case
11	le	DET	11	det
12	New	PROPN	4	obl:arg
13	Jersey	PROPN	11	flat:name
14	)	PUNCT	4	punct
15	est	AUX	16	cop
16	un	DET	16	det
17	acteur	NOUN	0	root
18	américain	ADJ	16	amod
19	réputé	VERB	16	acl
20	pour	ADP	21	case
21	son	DET	21	det
22	savoir-être	NOUN	18	obl:mod
23	d'	ADP	23	case
24	acteur	NOUN	21	nmod
25	jouant	VERB	23	acl
26	les	DET	26	det
27	rôles	NOUN	24	obj
28	d	ADP	28	case
29	intellos	NOUN	26	nmod
30	ou	CCONJ	31	cc
31	de	ADP	31	case
32	nulards	NOUN	28	conj
33	.	PUNCT	16	punct