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:
Néanmoins sa carrière sera ralentie dès l'année suivante, des suites d'une blessure au genou contractée lors d'une chute sur le glacier de Tignes.
Postion	Tokenization
1	Néanmoins
2	sa
3	carrière
4	sera
5	ralentie
6	dès
7	l'
8	année
9	suivante
10	,
11	des
12	de
13	les
14	suites
15	d'
16	une
17	blessure
18	au
19	à
20	le
21	genou
22	contractée
23	lors
24	d'
25	une
26	chute
27	sur
28	le
29	glacier
30	de
31	Tignes
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Néanmoins	ADV	5	advmod
2	sa	DET	3	det
3	carrière	NOUN	5	nsubj:pass
4	sera	AUX	5	aux:pass
5	ralentie	VERB	0	root
6	dès	ADP	8	case
7	l'	DET	8	det
8	année	NOUN	5	obl:mod
9	suivante	ADJ	8	amod
10	,	PUNCT	13	punct
11	des	_	None	_
12	de	ADP	13	case
13	les	DET	13	det
14	suites	NOUN	5	obl:mod
15	d'	ADP	16	case
16	une	DET	16	det
17	blessure	NOUN	13	nmod
18	au	_	None	_
19	à	ADP	19	case
20	le	DET	19	det
21	genou	NOUN	16	nmod
22	contractée	VERB	16	acl
23	lors	ADV	20	advmod
24	d'	ADP	24	case
25	une	DET	24	det
26	chute	NOUN	21	obl:arg
27	sur	ADP	27	case
28	le	DET	27	det
29	glacier	NOUN	24	nmod
30	de	ADP	29	case
31	Tignes	PROPN	27	nmod
32	.	PUNCT	5	punct