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 text: Francouz Stephane Peterhansel na továrním stroji Yamaha XTZ 850 se jako první rozloučil s davem nadšených fanoušků - i s nedalekou Eiffelovou věží shlížející přes Seinu na hemžení pod Trocaderem - a krátce před osmou hodinou vyrazil na trasu 1616 km dlouhé první etapy vedoucí přes Brusel a Berlín do Varšavy.
Position	Tokenization	UPOS	Head	Deprel
1	Francouz	PROPN	13	nsubj
2	Stephane	PROPN	1	flat
3	Peterhansel	PROPN	1	flat
4	na	ADP	6	case
5	továrním	ADJ	6	amod
6	stroji	NOUN	1	nmod
7	Yamaha	PROPN	6	nmod
8	XTZ	PROPN	7	nmod
9	850	NUM	8	nummod
10	se	PRON	13	expl:pv
11	jako	SCONJ	12	mark
12	první	ADJ	1	xcomp
13	rozloučil	VERB	0	root
14	s	ADP	15	case
15	davem	NOUN	13	obl:arg
16	nadšených	ADJ	17	amod
17	fanoušků	NOUN	15	nmod
18	-	PUNCT	23	punct
19	i	CCONJ	23	cc
20	s	ADP	23	case
21	nedalekou	ADJ	23	amod
22	Eiffelovou	ADJ	23	amod
23	věží	NOUN	15	conj
24	shlížející	ADJ	23	amod
25	přes	ADP	26	case
26	Seinu	PROPN	24	obl
27	na	ADP	28	case
28	hemžení	NOUN	24	obl
29	pod	ADP	30	case
30	Trocaderem	PROPN	28	nmod
31	-	PUNCT	15	punct
32	a	CCONJ	37	cc
33	krátce	ADV	37	advmod
34	před	ADP	36	case
35	osmou	ADJ	36	amod
36	hodinou	NOUN	33	obl
37	vyrazil	VERB	13	conj
38	na	ADP	39	case
39	trasu	NOUN	37	obl
40	1616	NUM	42	obl
41	km	NOUN	40	nmod
42	dlouhé	ADJ	44	amod
43	první	ADJ	44	amod
44	etapy	NOUN	39	nmod
45	vedoucí	ADJ	44	amod
46	přes	ADP	47	case
47	Brusel	PROPN	45	obl
48	a	CCONJ	49	cc
49	Berlín	PROPN	47	conj
50	do	ADP	51	case
51	Varšavy	PROPN	45	obl
52	.	PUNCT	13	punct