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:
S výkonem svého mužstva byl však spokojen: "Před zápasem bych vzhledem k absenci Chovance a Novotného bral bod, se dvěma jsem samozřejmě maximálně spokojen.
Postion	Tokenization
1	S
2	výkonem
3	svého
4	mužstva
5	byl
6	však
7	spokojen
8	:
9	"
10	Před
11	zápasem
12	bych
13	vzhledem
14	k
15	absenci
16	Chovance
17	a
18	Novotného
19	bral
20	bod
21	,
22	se
23	dvěma
24	jsem
25	samozřejmě
26	maximálně
27	spokojen
28	.
Position	Tokenization	UPOS	Head	Deprel
1	S	ADP	2	case
2	výkonem	NOUN	7	obl:arg
3	svého	DET	4	det
4	mužstva	NOUN	2	nmod
5	byl	AUX	7	cop
6	však	CCONJ	7	cc
7	spokojen	ADJ	0	root
8	:	PUNCT	19	punct
9	"	PUNCT	19	punct
10	Před	ADP	11	case
11	zápasem	NOUN	19	obl
12	bych	AUX	19	aux
13	vzhledem	ADP	15	case
14	k	ADP	13	fixed
15	absenci	NOUN	19	obl
16	Chovance	PROPN	15	nmod
17	a	CCONJ	18	cc
18	Novotného	PROPN	16	conj
19	bral	VERB	7	conj
20	bod	NOUN	19	obj
21	,	PUNCT	27	punct
22	se	ADP	23	case
23	dvěma	NUM	27	dep
24	jsem	AUX	27	cop
25	samozřejmě	ADV	27	advmod
26	maximálně	ADV	27	advmod
27	spokojen	ADJ	19	conj
28	.	PUNCT	7	punct