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 text: V celkové klasifikaci vede stále Vopršálek, Kočařovi ale stačí v posledním závodu seriálu v Brně neskončit víc než čtyři místa za Seidlem, a stane se tak celkovým vítězem s prémií 100 tisíc korun.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	celkové	ADJ	3	amod
3	klasifikaci	NOUN	4	obl
4	vede	VERB	0	root
5	stále	ADV	4	advmod
6	Vopršálek	PROPN	4	nsubj
7	,	PUNCT	10	punct
8	Kočařovi	PROPN	10	obl:arg
9	ale	CCONJ	10	cc
10	stačí	VERB	4	conj
11	v	ADP	13	case
12	posledním	ADJ	13	amod
13	závodu	NOUN	17	obl
14	seriálu	NOUN	13	nmod
15	v	ADP	16	case
16	Brně	PROPN	14	nmod
17	neskončit	VERB	10	csubj
18	víc	ADV	20	advmod:emph
19	než	SCONJ	18	cc
20	čtyři	NUM	21	nummod
21	místa	NOUN	17	obl
22	za	ADP	23	case
23	Seidlem	PROPN	21	nmod
24	,	PUNCT	26	punct
25	a	CCONJ	26	cc
26	stane	VERB	10	conj
27	se	PRON	26	expl:pv
28	tak	ADV	26	advmod
29	celkovým	ADJ	30	amod
30	vítězem	NOUN	26	obl:arg
31	s	ADP	32	case
32	prémií	NOUN	30	nmod
33	100	NUM	35	nummod:gov
34	tisíc	NUM	35	nummod:gov
35	korun	NOUN	32	nmod
36	.	PUNCT	4	punct