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:
Leč nedejme se mýlit, byl to zase poslanec LSU, kdo nedávno vytkl v ČNR Klausově vládě, že se dostatečně nevěnuje prosazování české politiky.
Postion	Tokenization
1	Leč
2	nedejme
3	se
4	mýlit
5	,
6	byl
7	to
8	zase
9	poslanec
10	LSU
11	,
12	kdo
13	nedávno
14	vytkl
15	v
16	ČNR
17	Klausově
18	vládě
19	,
20	že
21	se
22	dostatečně
23	nevěnuje
24	prosazování
25	české
26	politiky
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Leč	SCONJ	2	cc
2	nedejme	VERB	0	root
3	se	PRON	4	expl:pv
4	mýlit	VERB	2	xcomp
5	,	PUNCT	7	punct
6	byl	AUX	7	cop
7	to	DET	2	conj
8	zase	ADV	7	advmod
9	poslanec	NOUN	7	nsubj
10	LSU	PROPN	9	nmod
11	,	PUNCT	14	punct
12	kdo	PRON	14	nsubj
13	nedávno	ADV	14	advmod
14	vytkl	VERB	9	acl:relcl
15	v	ADP	16	case
16	ČNR	PROPN	14	obl
17	Klausově	ADJ	18	amod
18	vládě	NOUN	14	obl:arg
19	,	PUNCT	23	punct
20	že	SCONJ	23	mark
21	se	PRON	23	expl:pv
22	dostatečně	ADV	23	advmod
23	nevěnuje	VERB	14	ccomp
24	prosazování	NOUN	23	obl:arg
25	české	ADJ	26	amod
26	politiky	NOUN	24	nmod
27	.	PUNCT	2	punct