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:
Tím, že kromě F. Trnky nikdo z poslanců zvolených na kandidátce unie nevstoupil do později ustavené strany LSU, bude jí náležet pouze půl milionu za jediný mandát.
Postion	Tokenization
1	Tím
2	,
3	že
4	kromě
5	F
6	.
7	Trnky
8	nikdo
9	z
10	poslanců
11	zvolených
12	na
13	kandidátce
14	unie
15	nevstoupil
16	do
17	později
18	ustavené
19	strany
20	LSU
21	,
22	bude
23	jí
24	náležet
25	pouze
26	půl
27	milionu
28	za
29	jediný
30	mandát
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Tím	DET	24	obl
2	,	PUNCT	15	punct
3	že	SCONJ	15	mark
4	kromě	ADP	5	case
5	F	PROPN	15	obl
6	.	PUNCT	5	punct
7	Trnky	PROPN	5	flat
8	nikdo	PRON	15	nsubj
9	z	ADP	10	case
10	poslanců	NOUN	8	nmod
11	zvolených	ADJ	10	amod
12	na	ADP	13	case
13	kandidátce	NOUN	11	obl
14	unie	NOUN	13	nmod
15	nevstoupil	VERB	1	acl
16	do	ADP	19	case
17	později	ADV	18	advmod
18	ustavené	ADJ	19	amod
19	strany	NOUN	15	obl
20	LSU	PROPN	19	nmod
21	,	PUNCT	15	punct
22	bude	AUX	24	aux
23	jí	PRON	24	obl:arg
24	náležet	VERB	0	root
25	pouze	ADV	26	advmod:emph
26	půl	NOUN	24	nsubj
27	milionu	NOUN	26	nmod
28	za	ADP	30	case
29	jediný	ADJ	30	amod
30	mandát	NOUN	24	obl
31	.	PUNCT	24	punct