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:
Hlavní rozdíl je v tom, že hráči z naší ligy teď mají velkou motivaci, neboť Bukač prohlásil, že právě z nich chce postavit základ týmu pro mistrovství světa.
Postion	Tokenization
1	Hlavní
2	rozdíl
3	je
4	v
5	tom
6	,
7	že
8	hráči
9	z
10	naší
11	ligy
12	teď
13	mají
14	velkou
15	motivaci
16	,
17	neboť
18	Bukač
19	prohlásil
20	,
21	že
22	právě
23	z
24	nich
25	chce
26	postavit
27	základ
28	týmu
29	pro
30	mistrovství
31	světa
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Hlavní	ADJ	2	amod
2	rozdíl	NOUN	3	nsubj
3	je	VERB	0	root
4	v	ADP	5	case
5	tom	DET	3	obl
6	,	PUNCT	13	punct
7	že	SCONJ	13	mark
8	hráči	NOUN	13	nsubj
9	z	ADP	11	case
10	naší	DET	11	det
11	ligy	NOUN	8	nmod
12	teď	ADV	13	advmod
13	mají	VERB	5	acl
14	velkou	ADJ	15	amod
15	motivaci	NOUN	13	obj
16	,	PUNCT	19	punct
17	neboť	CCONJ	19	cc
18	Bukač	PROPN	19	nsubj
19	prohlásil	VERB	13	conj
20	,	PUNCT	25	punct
21	že	SCONJ	25	mark
22	právě	ADV	24	advmod:emph
23	z	ADP	24	case
24	nich	PRON	26	obl:arg
25	chce	VERB	19	ccomp
26	postavit	VERB	25	xcomp
27	základ	NOUN	26	obj
28	týmu	NOUN	27	nmod
29	pro	ADP	30	case
30	mistrovství	NOUN	28	nmod
31	světa	NOUN	30	nmod
32	.	PUNCT	3	punct