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:
V loňské sezoně prohráli Vsetínští jen čtyři utkání, ale trenér Valášek se nebojí, že by měli při přechodu do extraligy problémy jako loni Hradec Králové a Jindřichův Hradec.
Postion	Tokenization
1	V
2	loňské
3	sezoně
4	prohráli
5	Vsetínští
6	jen
7	čtyři
8	utkání
9	,
10	ale
11	trenér
12	Valášek
13	se
14	nebojí
15	,
16	že
17	by
18	měli
19	při
20	přechodu
21	do
22	extraligy
23	problémy
24	jako
25	loni
26	Hradec
27	Králové
28	a
29	Jindřichův
30	Hradec
31	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	loňské	ADJ	3	amod
3	sezoně	NOUN	4	obl
4	prohráli	VERB	0	root
5	Vsetínští	ADJ	4	nsubj
6	jen	PART	8	advmod:emph
7	čtyři	NUM	8	nummod
8	utkání	NOUN	4	obj
9	,	PUNCT	14	punct
10	ale	CCONJ	14	cc
11	trenér	NOUN	14	nsubj
12	Valášek	PROPN	11	flat
13	se	PRON	14	expl:pv
14	nebojí	VERB	4	conj
15	,	PUNCT	18	punct
16	že	SCONJ	18	mark
17	by	AUX	18	aux
18	měli	VERB	14	ccomp
19	při	ADP	20	case
20	přechodu	NOUN	18	obl
21	do	ADP	22	case
22	extraligy	NOUN	20	nmod
23	problémy	NOUN	18	obj
24	jako	SCONJ	25	mark
25	loni	ADV	18	advcl
26	Hradec	PROPN	25	dep
27	Králové	PROPN	26	nmod
28	a	CCONJ	30	cc
29	Jindřichův	ADJ	30	amod
30	Hradec	PROPN	26	conj
31	.	PUNCT	4	punct