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: První výkon byl novým "letním" českým rekordem, druhý byl dalším českým rekordem a také absolutním osobním rekordem Bártové (dosud v hale 350 cm) a konečně třetí skok absolutně nejlepším výsledkem, který kdy česká tyčkařka zaznamenala.
Position	Tokenization	UPOS	Head	Deprel
1	První	ADJ	2	amod
2	výkon	NOUN	9	nsubj
3	byl	AUX	9	cop
4	novým	ADJ	9	amod
5	"	PUNCT	6	punct
6	letním	ADJ	9	amod
7	"	PUNCT	6	punct
8	českým	ADJ	9	amod
9	rekordem	NOUN	0	root
10	,	PUNCT	15	punct
11	druhý	ADJ	15	dep
12	byl	AUX	15	cop
13	dalším	ADJ	15	amod
14	českým	ADJ	15	amod
15	rekordem	NOUN	9	conj
16	a	CCONJ	20	cc
17	také	ADV	20	advmod:emph
18	absolutním	ADJ	20	amod
19	osobním	ADJ	20	amod
20	rekordem	NOUN	15	conj
21	Bártové	PROPN	20	nmod
22	(	PUNCT	20	punct
23	dosud	ADV	20	dep
24	v	ADP	25	case
25	hale	NOUN	20	dep
26	350	NUM	20	dep
27	cm	NOUN	26	nmod
28	)	PUNCT	20	punct
29	_	_	None	_
30	a	CCONJ	30	cc
31	konečně	ADV	9	conj
32	třetí	ADJ	32	amod
33	skok	NOUN	30	orphan
34	absolutně	ADV	34	advmod
35	nejlepším	ADJ	35	amod
36	výsledkem	NOUN	30	orphan
37	,	PUNCT	41	punct
38	který	DET	41	obj
39	kdy	ADV	41	advmod
40	česká	ADJ	40	amod
41	tyčkařka	NOUN	41	nsubj
42	zaznamenala	VERB	35	acl:relcl
43	.	PUNCT	9	punct