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 tokenized text:
Až do minulého víkendu držela "letní" český rekord Kábová výkonem 340 cm, rekord halový, který patří rovněž Kábové, má hodnotu 355 cm.
Postion	Tokenization
1	Až
2	do
3	minulého
4	víkendu
5	držela
6	"
7	letní
8	"
9	český
10	rekord
11	Kábová
12	výkonem
13	340
14	cm
15	,
16	rekord
17	halový
18	,
19	který
20	patří
21	rovněž
22	Kábové
23	,
24	má
25	hodnotu
26	355
27	cm
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Až	PART	4	advmod:emph
2	do	ADP	4	case
3	minulého	ADJ	4	amod
4	víkendu	NOUN	5	obl
5	držela	VERB	0	root
6	"	PUNCT	7	punct
7	letní	ADJ	10	amod
8	"	PUNCT	7	punct
9	český	ADJ	10	amod
10	rekord	NOUN	5	obj
11	Kábová	PROPN	5	nsubj
12	výkonem	NOUN	5	obl
13	340	NUM	12	nummod
14	cm	NOUN	13	nmod
15	,	PUNCT	24	punct
16	rekord	NOUN	24	nsubj
17	halový	ADJ	16	amod
18	,	PUNCT	20	punct
19	který	DET	20	nsubj
20	patří	VERB	16	acl:relcl
21	rovněž	ADV	20	advmod
22	Kábové	PROPN	20	obl:arg
23	,	PUNCT	20	punct
24	má	VERB	5	conj
25	hodnotu	NOUN	24	obj
26	355	NUM	25	nummod
27	cm	NOUN	26	nmod
28	.	PUNCT	5	punct