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: Čeští reprezentanti Pavel Sibera a Petr Gross obsadili v celkovém pořadí podle neoficiálních výsledků 18. místo se ztrátou 44:10 min. a jejich kolegové z týmu Škoda Motorsport Emil Triner a Jiří Klíma skončili s dalším odstupem 1:17 min. na 19. příčce.
Position	Tokenization	UPOS	Head	Deprel
1	Čeští	ADJ	2	amod
2	reprezentanti	NOUN	3	nmod
3	Pavel	PROPN	8	nsubj
4	Sibera	PROPN	3	flat
5	a	CCONJ	6	cc
6	Petr	PROPN	3	conj
7	Gross	PROPN	6	flat
8	obsadili	VERB	0	root
9	v	ADP	11	case
10	celkovém	ADJ	11	amod
11	pořadí	NOUN	8	obl
12	podle	ADP	14	case
13	neoficiálních	ADJ	14	amod
14	výsledků	NOUN	8	obl
15	18	NUM	17	nummod
16	.	PUNCT	15	punct
17	místo	NOUN	8	obj
18	se	ADP	19	case
19	ztrátou	NOUN	8	obl
20	44	NUM	19	nummod
21	:	PUNCT	20	punct
22	10	NUM	20	compound
23	min	NOUN	20	nmod
24	.	PUNCT	23	punct
25	a	CCONJ	37	cc
26	jejich	DET	27	det
27	kolegové	NOUN	32	nmod
28	z	ADP	29	case
29	týmu	NOUN	27	nmod
30	Škoda	PROPN	29	nmod
31	Motorsport	PROPN	30	nmod
32	Emil	PROPN	37	nsubj
33	Triner	PROPN	32	flat
34	a	CCONJ	35	cc
35	Jiří	PROPN	32	conj
36	Klíma	PROPN	35	flat
37	skončili	VERB	8	conj
38	s	ADP	40	case
39	dalším	ADJ	40	amod
40	odstupem	NOUN	37	obl
41	1	NUM	40	nummod
42	:	PUNCT	41	punct
43	17	NUM	41	compound
44	min	NOUN	41	nmod
45	.	PUNCT	44	punct
46	na	ADP	49	case
47	19	NUM	49	nummod
48	.	PUNCT	47	punct
49	příčce	NOUN	37	obl
50	.	PUNCT	8	punct