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'année suivante, il grimpe au quatrième rang du top 100, précédé seulement de Jason Heyward, Stephen Strasburg et Mike Stanton.
Postion	Tokenization
1	L'
2	année
3	suivante
4	,
5	il
6	grimpe
7	au
8	à
9	le
10	quatrième
11	rang
12	du
13	de
14	le
15	top
16	100
17	,
18	précédé
19	seulement
20	de
21	Jason
22	Heyward
23	,
24	Stephen
25	Strasburg
26	et
27	Mike
28	Stanton
29	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	année	NOUN	6	obl:mod
3	suivante	ADJ	2	amod
4	,	PUNCT	2	punct
5	il	PRON	6	nsubj
6	grimpe	VERB	0	root
7	au	_	None	_
8	à	ADP	10	case
9	le	DET	10	det
10	quatrième	ADJ	10	amod
11	rang	NOUN	6	obl:arg
12	du	_	None	_
13	de	ADP	13	case
14	le	DET	13	det
15	top	NOUN	10	nmod
16	100	NUM	13	nmod
17	,	PUNCT	16	punct
18	précédé	VERB	6	advcl
19	seulement	ADV	16	advmod
20	de	ADP	19	case
21	Jason	PROPN	16	obl:arg
22	Heyward	PROPN	19	flat:name
23	,	PUNCT	22	punct
24	Stephen	PROPN	19	conj
25	Strasburg	PROPN	22	flat:name
26	et	CCONJ	25	cc
27	Mike	PROPN	19	conj
28	Stanton	PROPN	25	flat:name
29	.	PUNCT	6	punct