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:
Třetí třetina přinesla pro změnu zázračný zvrat v řadách Motoru, dva "slepené" góly v rozmezí 89 s, a bylo to 2:3.
Postion	Tokenization
1	Třetí
2	třetina
3	přinesla
4	pro
5	změnu
6	zázračný
7	zvrat
8	v
9	řadách
10	Motoru
11	,
12	dva
13	"
14	slepené
15	"
16	góly
17	v
18	rozmezí
19	89
20	s
21	,
22	a
23	bylo
24	to
25	2
26	:
27	3
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Třetí	ADJ	2	amod
2	třetina	NUM	3	nsubj
3	přinesla	VERB	0	root
4	pro	ADP	5	case
5	změnu	NOUN	3	obl
6	zázračný	ADJ	7	amod
7	zvrat	NOUN	3	obj
8	v	ADP	9	case
9	řadách	NOUN	7	nmod
10	Motoru	NOUN	9	nmod
11	,	PUNCT	16	punct
12	dva	NUM	16	nummod
13	"	PUNCT	14	punct
14	slepené	ADJ	16	amod
15	"	PUNCT	14	punct
16	góly	NOUN	7	appos
17	v	ADP	18	case
18	rozmezí	NOUN	16	nmod
19	89	NUM	20	nummod
20	s	NOUN	18	nmod
21	,	PUNCT	16	punct
22	a	CCONJ	25	cc
23	bylo	AUX	25	cop
24	to	DET	25	nsubj
25	2	NUM	3	conj
26	:	PUNCT	27	punct
27	3	NUM	25	conj
28	.	PUNCT	3	punct