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: Zajímavý teplotní kontrast, způsobený studenou frontou, byl zaznamenán v neděli, kdy v Karlových Varech vystoupila teplota už jenom na 21 stupňů, zatímco Ostrava hlásila ještě 34 st. C.
Position	Tokenization	UPOS	Head	Deprel
1	Zajímavý	ADJ	3	amod
2	teplotní	ADJ	3	amod
3	kontrast	NOUN	10	nsubj:pass
4	,	PUNCT	5	punct
5	způsobený	ADJ	3	amod
6	studenou	ADJ	7	amod
7	frontou	NOUN	5	obl
8	,	PUNCT	5	punct
9	byl	AUX	10	aux:pass
10	zaznamenán	ADJ	0	root
11	v	ADP	12	case
12	neděli	NOUN	10	obl
13	,	PUNCT	28	punct
14	kdy	ADV	18	advmod
15	v	ADP	17	case
16	Karlových	ADJ	17	amod
17	Varech	PROPN	18	obl
18	vystoupila	VERB	28	advcl
19	teplota	NOUN	18	nsubj
20	už	ADV	23	advmod:emph
21	jenom	PART	23	advmod:emph
22	na	ADP	24	case
23	21	NUM	24	nummod:gov
24	stupňů	NOUN	18	obl
25	,	PUNCT	18	punct
26	zatímco	SCONJ	18	mark
27	Ostrava	PROPN	28	nsubj
28	hlásila	VERB	12	acl:relcl
29	ještě	ADV	30	advmod:emph
30	34	NUM	28	obj
31	st	NOUN	30	nmod
32	.	PUNCT	31	punct
33	C	NOUN	31	nmod
34	.	PUNCT	10	punct