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: To se jí sice nepodařilo, i když ve druhém pokusu k tomu neměla daleko, ale předtím vymazala třetím skokem z evropských tabulek výkonem 4.09 Němku Nicole Riegerovou, která loni v Halle skočila o centimetr méně.
Position	Tokenization	UPOS	Head	Deprel
1	To	DET	5	nsubj
2	se	PRON	5	expl:pv
3	jí	PRON	5	obl:arg
4	sice	ADV	5	cc
5	nepodařilo	VERB	0	root
6	,	PUNCT	14	punct
7	i	CCONJ	14	mark
8	když	SCONJ	7	fixed
9	ve	ADP	11	case
10	druhém	ADJ	11	amod
11	pokusu	NOUN	14	obl
12	k	ADP	13	case
13	tomu	DET	14	obl
14	neměla	VERB	5	advcl
15	daleko	ADV	14	advmod
16	,	PUNCT	19	punct
17	ale	CCONJ	19	cc
18	předtím	ADV	19	advmod
19	vymazala	VERB	5	conj
20	třetím	ADJ	21	amod
21	skokem	NOUN	19	obl
22	z	ADP	24	case
23	evropských	ADJ	24	amod
24	tabulek	NOUN	19	obl
25	výkonem	NOUN	19	obl
26	4.09	NUM	25	nummod
27	Němku	PROPN	19	obj
28	Nicole	PROPN	27	flat
29	Riegerovou	PROPN	27	flat
30	,	PUNCT	35	punct
31	která	DET	35	nsubj
32	loni	ADV	35	advmod
33	v	ADP	34	case
34	Halle	PROPN	35	obl
35	skočila	VERB	27	acl:relcl
36	o	ADP	37	case
37	centimetr	NOUN	38	obl
38	méně	ADV	35	advmod
39	.	PUNCT	5	punct