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: Na střelbu pokutových kopů mají v Chebu tři specialisty, jenže: Samec neproměnil penaltu proti Zlínu, Nečas neuspěl v utkání s Bohemians a do třetice ani Bielik ve čtvrtek z očí do očí proti sparťanu Koubovi.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	střelbu	NOUN	5	obl
3	pokutových	ADJ	4	amod
4	kopů	NOUN	2	nmod
5	mají	VERB	0	root
6	v	ADP	7	case
7	Chebu	PROPN	5	obl
8	tři	NUM	9	nummod
9	specialisty	NOUN	5	obj
10	,	PUNCT	14	punct
11	jenže	CCONJ	14	cc
12	:	PUNCT	14	punct
13	Samec	NOUN	14	nsubj
14	neproměnil	VERB	5	conj
15	penaltu	NOUN	14	obj
16	proti	ADP	17	case
17	Zlínu	PROPN	15	nmod
18	,	PUNCT	20	punct
19	Nečas	PROPN	20	nsubj
20	neuspěl	VERB	14	conj
21	v	ADP	22	case
22	utkání	NOUN	20	obl
23	s	ADP	24	case
24	Bohemians	PROPN	22	nmod
25	_	_	None	_
26	a	CCONJ	27	cc
27	do	ADP	27	case
28	třetice	NOUN	14	conj
29	ani	CCONJ	29	advmod:emph
30	Bielik	PROPN	27	orphan
31	ve	ADP	31	case
32	čtvrtek	NOUN	27	orphan
33	z	ADP	33	case
34	očí	NOUN	27	orphan
35	do	ADP	35	case
36	očí	NOUN	27	orphan
37	proti	ADP	37	case
38	sparťanu	NOUN	27	orphan
39	Koubovi	PROPN	37	flat
40	.	PUNCT	5	punct