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:
Právě remíza s Tre kronor je nepochybně nejcennějším ze šesti výsledků tím spíš, že trenér Lundmark po utkání prohlásil, že s hrou svých svěřenců byl velmi spokojen.
Postion	Tokenization
1	Právě
2	remíza
3	s
4	Tre
5	kronor
6	je
7	nepochybně
8	nejcennějším
9	ze
10	šesti
11	výsledků
12	tím
13	spíš
14	,
15	že
16	trenér
17	Lundmark
18	po
19	utkání
20	prohlásil
21	,
22	že
23	s
24	hrou
25	svých
26	svěřenců
27	byl
28	velmi
29	spokojen
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Právě	ADV	2	advmod:emph
2	remíza	NOUN	8	nsubj
3	s	ADP	5	case
4	Tre	NUM	5	nummod
5	kronor	PROPN	2	nmod
6	je	AUX	8	cop
7	nepochybně	ADV	8	advmod
8	nejcennějším	ADJ	0	root
9	ze	ADP	11	case
10	šesti	NUM	11	nummod
11	výsledků	NOUN	8	obl
12	tím	DET	13	obl
13	spíš	ADV	8	advmod
14	,	PUNCT	20	punct
15	že	SCONJ	20	mark
16	trenér	NOUN	20	nsubj
17	Lundmark	PROPN	16	flat
18	po	ADP	19	case
19	utkání	NOUN	20	obl
20	prohlásil	VERB	13	ccomp
21	,	PUNCT	29	punct
22	že	SCONJ	29	mark
23	s	ADP	24	case
24	hrou	NOUN	29	obl:arg
25	svých	DET	26	det
26	svěřenců	NOUN	24	nmod
27	byl	AUX	29	cop
28	velmi	ADV	29	advmod
29	spokojen	ADJ	20	ccomp
30	.	PUNCT	8	punct