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:
Červencová cesta parlamentní delegace do Číny stála ruskou pokladnu 250000 dolarů, nepočítaje diety, které si poslanci těsně před cestou odhlasovali.
Postion	Tokenization
1	Červencová
2	cesta
3	parlamentní
4	delegace
5	do
6	Číny
7	stála
8	ruskou
9	pokladnu
10	250000
11	dolarů
12	,
13	nepočítaje
14	diety
15	,
16	které
17	si
18	poslanci
19	těsně
20	před
21	cestou
22	odhlasovali
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Červencová	ADJ	2	amod
2	cesta	NOUN	7	nsubj
3	parlamentní	ADJ	4	amod
4	delegace	NOUN	2	nmod
5	do	ADP	6	case
6	Číny	PROPN	2	nmod
7	stála	VERB	0	root
8	ruskou	ADJ	9	amod
9	pokladnu	NOUN	7	obj
10	250000	NUM	11	nummod:gov
11	dolarů	NOUN	7	obl
12	,	PUNCT	13	punct
13	nepočítaje	VERB	7	advcl
14	diety	NOUN	13	obj
15	,	PUNCT	22	punct
16	které	DET	22	obj
17	si	PRON	22	obl
18	poslanci	NOUN	22	nsubj
19	těsně	ADV	22	advmod
20	před	ADP	21	case
21	cestou	NOUN	19	obl
22	odhlasovali	VERB	14	acl:relcl
23	.	PUNCT	7	punct