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:
V Hartfordu se předvedl ve vynikajícím světle Hašek z hostujícího Buffala, který měl 28 úspěšných zásahů a kapituloval pouze jednou po střele svého krajana Krona.
Postion	Tokenization
1	V
2	Hartfordu
3	se
4	předvedl
5	ve
6	vynikajícím
7	světle
8	Hašek
9	z
10	hostujícího
11	Buffala
12	,
13	který
14	měl
15	28
16	úspěšných
17	zásahů
18	a
19	kapituloval
20	pouze
21	jednou
22	po
23	střele
24	svého
25	krajana
26	Krona
27	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	Hartfordu	PROPN	4	obl
3	se	PRON	4	expl:pv
4	předvedl	VERB	0	root
5	ve	ADP	7	case
6	vynikajícím	ADJ	7	amod
7	světle	NOUN	4	obl
8	Hašek	PROPN	4	nsubj
9	z	ADP	11	case
10	hostujícího	ADJ	11	amod
11	Buffala	PROPN	8	nmod
12	,	PUNCT	14	punct
13	který	DET	14	nsubj
14	měl	VERB	8	acl:relcl
15	28	NUM	17	nummod:gov
16	úspěšných	ADJ	17	amod
17	zásahů	NOUN	14	obj
18	a	CCONJ	19	cc
19	kapituloval	VERB	14	conj
20	pouze	ADV	21	advmod:emph
21	jednou	ADV	19	obl
22	po	ADP	23	case
23	střele	NOUN	19	obl
24	svého	DET	25	det
25	krajana	NOUN	23	nmod
26	Krona	PROPN	25	flat
27	.	PUNCT	4	punct