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:
Il s'impose en 2008 à Fayetteville lors des Championnats NCAA en salle et signe un nouveau record universitaire des États-Unis avec un jet à 21,73 m.
Postion	Tokenization
1	Il
2	s'
3	impose
4	en
5	2008
6	à
7	Fayetteville
8	lors
9	des
10	de
11	les
12	Championnats
13	NCAA
14	en
15	salle
16	et
17	signe
18	un
19	nouveau
20	record
21	universitaire
22	des
23	de
24	les
25	États-Unis
26	avec
27	un
28	jet
29	à
30	21,73
31	m
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	nsubj:pass
2	s'	PRON	3	expl:pass
3	impose	VERB	0	root
4	en	ADP	5	case
5	2008	NUM	3	obl:mod
6	à	ADP	7	case
7	Fayetteville	PROPN	3	obl:mod
8	lors	ADV	3	advmod
9	des	_	None	_
10	de	ADP	11	case
11	les	DET	11	det
12	Championnats	NOUN	8	obl:arg
13	NCAA	PROPN	11	appos
14	en	ADP	14	case
15	salle	NOUN	11	nmod
16	et	CCONJ	16	cc
17	signe	VERB	3	conj
18	un	DET	19	det
19	nouveau	ADJ	19	amod
20	record	NOUN	16	obj
21	universitaire	ADJ	19	amod
22	des	_	None	_
23	de	ADP	23	case
24	les	DET	23	det
25	États-Unis	PROPN	19	nmod
26	avec	ADP	26	case
27	un	DET	26	det
28	jet	NOUN	16	obl:mod
29	à	ADP	29	case
30	21,73	NUM	29	nummod
31	m	NOUN	26	nmod
32	.	PUNCT	3	punct