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:
Voir la structure ci-contre du nitrure de lithium (rayon ionique du lithium 90 pm) avec de nombreux petits cations Li + entourant les gros anions N3-.
Postion	Tokenization
1	Voir
2	la
3	structure
4	ci-contre
5	du
6	de
7	le
8	nitrure
9	de
10	lithium
11	(
12	rayon
13	ionique
14	du
15	de
16	le
17	lithium
18	90
19	pm
20	)
21	avec
22	de
23	nombreux
24	petits
25	cations
26	Li
27	+
28	entourant
29	les
30	gros
31	anions
32	N3
33	-
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Voir	VERB	0	root
2	la	DET	3	det
3	structure	NOUN	1	obj
4	ci-contre	ADV	3	advmod
5	du	_	None	_
6	de	ADP	7	case
7	le	DET	7	det
8	nitrure	NOUN	3	nmod
9	de	ADP	9	case
10	lithium	NOUN	7	nmod
11	(	PUNCT	11	punct
12	rayon	NOUN	7	appos
13	ionique	ADJ	11	amod
14	du	_	None	_
15	de	ADP	15	case
16	le	DET	15	det
17	lithium	NOUN	11	nmod
18	90	NUM	17	nummod
19	pm	NOUN	11	nmod
20	)	PUNCT	11	punct
21	avec	ADP	23	case
22	de	DET	23	det
23	nombreux	ADJ	23	amod
24	petits	ADJ	23	amod
25	cations	NOUN	3	nmod
26	Li	X	23	appos
27	+	SYM	24	amod
28	entourant	VERB	23	acl
29	les	DET	29	det
30	gros	ADJ	29	amod
31	anions	NOUN	26	obj
32	N3	NOUN	29	appos
33	-	SYM	30	amod
34	.	PUNCT	1	punct