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:
L'union n'est pas aussi brillante que celles de ses deux sœurs, mais elle satisfait sa mère, la grande-duchesse Hélène Vladimirovna de Russie, qui craignait de voir Élisabeth rester célibataire.
Postion	Tokenization
1	L'
2	union
3	n'
4	est
5	pas
6	aussi
7	brillante
8	que
9	celles
10	de
11	ses
12	deux
13	sœurs
14	,
15	mais
16	elle
17	satisfait
18	sa
19	mère
20	,
21	la
22	grande-duchesse
23	Hélène
24	Vladimirovna
25	de
26	Russie
27	,
28	qui
29	craignait
30	de
31	voir
32	Élisabeth
33	rester
34	célibataire
35	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	union	NOUN	7	nsubj
3	n'	ADV	7	advmod
4	est	AUX	7	cop
5	pas	ADV	7	advmod
6	aussi	ADV	7	advmod
7	brillante	ADJ	0	root
8	que	SCONJ	9	case
9	celles	PRON	6	obj
10	de	ADP	13	case
11	ses	DET	13	det
12	deux	NUM	13	nummod
13	sœurs	NOUN	9	nmod
14	,	PUNCT	17	punct
15	mais	CCONJ	17	cc
16	elle	PRON	17	nsubj
17	satisfait	VERB	7	conj
18	sa	DET	19	det
19	mère	NOUN	17	obj
20	,	PUNCT	22	punct
21	la	DET	22	det
22	grande-duchesse	NOUN	19	appos
23	Hélène	PROPN	22	appos
24	Vladimirovna	PROPN	23	flat:name
25	de	ADP	26	case
26	Russie	PROPN	22	nmod
27	,	PUNCT	29	punct
28	qui	PRON	29	nsubj
29	craignait	VERB	22	acl:relcl
30	de	ADP	31	mark
31	voir	VERB	29	xcomp:obj
32	Élisabeth	PROPN	31	obj
33	rester	VERB	31	xcomp:obj
34	célibataire	ADJ	33	xcomp:pred
35	.	PUNCT	7	punct