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:
André et ses sœurs avait eu la chance, grâce au prestige de leur mère et de leur grand-père, de devenir des intimes des enfants du roi Louis-Philippe.
Postion	Tokenization
1	André
2	et
3	ses
4	sœurs
5	avait
6	eu
7	la
8	chance
9	,
10	grâce
11	au
12	à
13	le
14	prestige
15	de
16	leur
17	mère
18	et
19	de
20	leur
21	grand-père
22	,
23	de
24	devenir
25	des
26	intimes
27	des
28	de
29	les
30	enfants
31	du
32	de
33	le
34	roi
35	Louis-Philippe
36	.
Position	Tokenization	UPOS	Head	Deprel
1	André	PROPN	6	nsubj
2	et	CCONJ	4	cc
3	ses	DET	4	det
4	sœurs	NOUN	1	conj
5	avait	AUX	6	aux:tense
6	eu	VERB	0	root
7	la	DET	8	det
8	chance	NOUN	6	obj
9	,	PUNCT	13	punct
10	grâce	NOUN	13	case
11	au	_	None	_
12	à	ADP	10	fixed
13	le	DET	13	det
14	prestige	NOUN	6	obl:mod
15	de	ADP	16	case
16	leur	DET	16	det
17	mère	NOUN	13	nmod
18	et	CCONJ	20	cc
19	de	ADP	20	case
20	leur	DET	20	det
21	grand-père	NOUN	16	conj
22	,	PUNCT	23	punct
23	de	ADP	23	mark
24	devenir	VERB	8	acl
25	des	DET	25	det
26	intimes	NOUN	23	xcomp:pred
27	des	_	None	_
28	de	ADP	28	case
29	les	DET	28	det
30	enfants	NOUN	25	nmod
31	du	_	None	_
32	de	ADP	31	case
33	le	DET	31	det
34	roi	NOUN	28	nmod
35	Louis-Philippe	PROPN	31	appos
36	.	PUNCT	6	punct