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: Dobrý výkon - 14.10 m - předvedla také trojskokanka Kašpárková, kterou v posledních dnech trápilo nepříjemné zranění hýžďového svalu: "Bolest jsem už necítila a sval při závodě držel, i když jsem byla trochu nejistá, protože jsem skákala po delší době téměř naplno.
Position	Tokenization	UPOS	Head	Deprel
1	Dobrý	ADJ	2	amod
2	výkon	NOUN	7	obj
3	-	PUNCT	4	punct
4	14.10	NUM	2	appos
5	m	NOUN	4	nmod
6	-	PUNCT	4	punct
7	předvedla	VERB	0	root
8	také	ADV	7	advmod
9	trojskokanka	NOUN	7	nsubj
10	Kašpárková	PROPN	9	flat
11	,	PUNCT	16	punct
12	kterou	DET	16	obj
13	v	ADP	15	case
14	posledních	ADJ	15	amod
15	dnech	NOUN	16	obl
16	trápilo	VERB	9	acl:relcl
17	nepříjemné	ADJ	18	amod
18	zranění	NOUN	16	nsubj
19	hýžďového	ADJ	20	amod
20	svalu	NOUN	18	nmod
21	:	PUNCT	26	punct
22	"	PUNCT	26	punct
23	Bolest	NOUN	26	obj
24	jsem	AUX	26	aux
25	už	ADV	26	advmod
26	necítila	VERB	7	conj
27	a	CCONJ	31	cc
28	sval	NOUN	31	nsubj
29	při	ADP	30	case
30	závodě	NOUN	31	obl
31	držel	VERB	26	conj
32	,	PUNCT	38	punct
33	i	CCONJ	38	mark
34	když	SCONJ	33	fixed
35	jsem	AUX	38	aux
36	byla	AUX	38	cop
37	trochu	ADV	38	advmod
38	nejistá	ADJ	31	advcl
39	,	PUNCT	42	punct
40	protože	SCONJ	42	mark
41	jsem	AUX	42	aux
42	skákala	VERB	38	advcl
43	po	ADP	45	case
44	delší	ADJ	45	amod
45	době	NOUN	42	obl
46	téměř	ADV	47	advmod:emph
47	naplno	ADV	42	advmod
48	.	PUNCT	7	punct