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:
Troisième temps, Andrea Dovizioso (Honda) s'en est approché (2:00.531), comme Ben Spies et Jorge Lorenzo, tous deux sur Yamaha M1 et distancés de moins de 8/10e de seconde du leader.
Postion	Tokenization
1	Troisième
2	temps
3	,
4	Andrea
5	Dovizioso
6	(
7	Honda
8	)
9	s'
10	en
11	est
12	approché
13	(
14	2:00.531
15	)
16	,
17	comme
18	Ben
19	Spies
20	et
21	Jorge
22	Lorenzo
23	,
24	tous
25	deux
26	sur
27	Yamaha
28	M1
29	et
30	distancés
31	de
32	moins
33	de
34	8/10e
35	de
36	seconde
37	du
38	de
39	le
40	leader
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Troisième	ADJ	2	amod
2	temps	NOUN	4	nmod
3	,	PUNCT	2	punct
4	Andrea	PROPN	12	nsubj
5	Dovizioso	PROPN	4	flat:name
6	(	PUNCT	7	punct
7	Honda	PROPN	4	nmod
8	)	PUNCT	7	punct
9	s'	PRON	12	dep:comp
10	en	PRON	12	obl:arg
11	est	AUX	12	aux:tense
12	approché	VERB	0	root
13	(	PUNCT	14	punct
14	2:00.531	NUM	12	obl:mod
15	)	PUNCT	14	punct
16	,	PUNCT	18	punct
17	comme	ADP	18	case
18	Ben	PROPN	12	obl:mod
19	Spies	PROPN	18	flat:name
20	et	CCONJ	21	cc
21	Jorge	PROPN	18	conj
22	Lorenzo	PROPN	21	flat:name
23	,	PUNCT	27	punct
24	tous	ADJ	25	amod
25	deux	NUM	27	nmod
26	sur	ADP	27	case
27	Yamaha	PROPN	18	nmod
28	M1	PROPN	27	flat:name
29	et	CCONJ	30	cc
30	distancés	VERB	27	conj
31	de	ADP	32	case
32	moins	ADV	30	obl:arg
33	de	ADP	34	case
34	8/10e	NUM	32	dep:comp
35	de	ADP	36	case
36	seconde	NOUN	34	nmod
37	du	_	None	_
38	de	ADP	39	case
39	le	DET	39	det
40	leader	NOUN	30	obl:arg
41	.	PUNCT	12	punct