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:
Autobus klubu ze Zvishavane v Zimbabwe, který vezl jedenadvacet hráčů a jejich příznivce z utkání, měl z dosud nezjištěných příčin kolizi s nákladním vozem.
Postion	Tokenization
1	Autobus
2	klubu
3	ze
4	Zvishavane
5	v
6	Zimbabwe
7	,
8	který
9	vezl
10	jedenadvacet
11	hráčů
12	a
13	jejich
14	příznivce
15	z
16	utkání
17	,
18	měl
19	z
20	dosud
21	nezjištěných
22	příčin
23	kolizi
24	s
25	nákladním
26	vozem
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Autobus	NOUN	18	nsubj
2	klubu	NOUN	1	nmod
3	ze	ADP	4	case
4	Zvishavane	PROPN	2	nmod
5	v	ADP	6	case
6	Zimbabwe	PROPN	4	nmod
7	,	PUNCT	9	punct
8	který	DET	9	nsubj
9	vezl	VERB	1	acl:relcl
10	jedenadvacet	NUM	11	nummod:gov
11	hráčů	NOUN	9	obj
12	a	CCONJ	14	cc
13	jejich	DET	14	det
14	příznivce	NOUN	11	conj
15	z	ADP	16	case
16	utkání	NOUN	9	obl
17	,	PUNCT	9	punct
18	měl	VERB	0	root
19	z	ADP	22	case
20	dosud	ADV	21	advmod
21	nezjištěných	ADJ	22	amod
22	příčin	NOUN	18	obl
23	kolizi	NOUN	18	obj
24	s	ADP	26	case
25	nákladním	ADJ	26	amod
26	vozem	NOUN	23	nmod
27	.	PUNCT	18	punct