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:
" Pokud se umístí v Petrohradě v závodě na 30 kilometrů klasicky do 20. místa, tak bude startovat i v dalším běhu SP v italském Cogne.
Postion	Tokenization
1	"
2	Pokud
3	se
4	umístí
5	v
6	Petrohradě
7	v
8	závodě
9	na
10	30
11	kilometrů
12	klasicky
13	do
14	20
15	.
16	místa
17	,
18	tak
19	bude
20	startovat
21	i
22	v
23	dalším
24	běhu
25	SP
26	v
27	italském
28	Cogne
29	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	20	punct
2	Pokud	SCONJ	4	mark
3	se	PRON	4	expl:pv
4	umístí	VERB	20	advcl
5	v	ADP	6	case
6	Petrohradě	PROPN	4	obl
7	v	ADP	8	case
8	závodě	NOUN	4	obl
9	na	ADP	11	case
10	30	NUM	11	nummod:gov
11	kilometrů	NOUN	8	nmod
12	klasicky	ADV	11	advmod
13	do	ADP	16	case
14	20	NUM	16	nummod
15	.	PUNCT	14	punct
16	místa	NOUN	4	obl
17	,	PUNCT	4	punct
18	tak	ADV	20	advmod
19	bude	AUX	20	aux
20	startovat	VERB	0	root
21	i	CCONJ	23	advmod:emph
22	v	ADP	24	case
23	dalším	ADJ	24	amod
24	běhu	NOUN	20	obl
25	SP	NOUN	24	nmod
26	v	ADP	28	case
27	italském	ADJ	28	amod
28	Cogne	PROPN	20	obl
29	.	PUNCT	20	punct