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: Čas je také odměnou za těžké tréninky, ze kterých mi bylo často špatně, a za to, jak mě trenér Kárský trápil na soustředění v Tatrách," říkala běžkyně Sparty, jejíž čas, stejně jako Benešové, je velkým příslibem pro barcelonskou štafetu na 4 x 400 metrů.
Position	Tokenization	UPOS	Head	Deprel
1	Čas	NOUN	4	nsubj
2	je	AUX	4	cop
3	také	ADV	4	advmod
4	odměnou	NOUN	31	ccomp
5	za	ADP	7	case
6	těžké	ADJ	7	amod
7	tréninky	NOUN	4	nmod
8	,	PUNCT	12	punct
9	ze	ADP	10	case
10	kterých	DET	12	obl
11	mi	PRON	12	obl:arg
12	bylo	VERB	7	acl:relcl
13	často	ADV	12	advmod
14	špatně	ADV	12	advmod
15	,	PUNCT	18	punct
16	a	CCONJ	18	cc
17	za	ADP	18	case
18	to	DET	7	conj
19	,	PUNCT	24	punct
20	jak	ADV	24	advmod
21	mě	PRON	24	obj
22	trenér	NOUN	23	nmod
23	Kárský	PROPN	24	nsubj
24	trápil	VERB	18	acl
25	na	ADP	26	case
26	soustředění	NOUN	24	obl
27	v	ADP	28	case
28	Tatrách	PROPN	26	nmod
29	,	PUNCT	4	punct
30	"	PUNCT	4	punct
31	říkala	VERB	0	root
32	běžkyně	NOUN	31	nsubj
33	Sparty	PROPN	32	nmod
34	,	PUNCT	44	punct
35	jejíž	DET	36	det
36	čas	NOUN	44	nsubj
37	,	PUNCT	38	punct
38	stejně	ADV	44	advmod
39	jako	SCONJ	40	mark
40	Benešové	PROPN	38	advcl
41	,	PUNCT	38	punct
42	je	AUX	44	cop
43	velkým	ADJ	44	amod
44	příslibem	NOUN	32	acl:relcl
45	pro	ADP	47	case
46	barcelonskou	ADJ	47	amod
47	štafetu	NOUN	44	nmod
48	na	ADP	52	case
49	4	NUM	52	nummod:gov
50	x	SYM	51	cc
51	400	NUM	49	conj
52	metrů	NOUN	47	nmod
53	.	PUNCT	31	punct