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:
Danielle Steel (née Danielle Fernande Dominique Schuelein-Steel le 14 août 1947 à New York, États-Unis) est une écrivain américaine de romans d'amour à succès.
Postion	Tokenization
1	Danielle
2	Steel
3	(
4	née
5	Danielle
6	Fernande
7	Dominique
8	Schuelein-Steel
9	le
10	14
11	août
12	1947
13	à
14	New
15	York
16	,
17	États-Unis
18	)
19	est
20	une
21	écrivain
22	américaine
23	de
24	romans
25	d'
26	amour
27	à
28	succès
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Danielle	PROPN	21	nsubj
2	Steel	PROPN	1	flat:name
3	(	PUNCT	4	punct
4	née	VERB	1	acl
5	Danielle	PROPN	4	xcomp:pred
6	Fernande	PROPN	5	flat:name
7	Dominique	PROPN	6	flat:name
8	Schuelein-Steel	PROPN	7	flat:name
9	le	DET	10	det
10	14	NUM	4	obl:arg
11	août	NOUN	10	nmod
12	1947	NUM	11	nmod
13	à	ADP	14	case
14	New	PROPN	4	obl:arg
15	York	PROPN	14	flat:name
16	,	PUNCT	17	punct
17	États-Unis	PROPN	14	nmod
18	)	PUNCT	4	punct
19	est	AUX	21	cop
20	une	DET	21	det
21	écrivain	NOUN	0	root
22	américaine	ADJ	21	amod
23	de	ADP	24	case
24	romans	NOUN	21	nmod
25	d'	ADP	26	case
26	amour	NOUN	24	nmod
27	à	ADP	28	case
28	succès	NOUN	24	nmod
29	.	PUNCT	21	punct