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:
LN to v sobotu sdělil předseda Miloš Zeman na otázku, kdo by se měl podílet na vyřešení zadluženosti ČSSD, jež činí 80 miliónů korun.
Postion	Tokenization
1	LN
2	to
3	v
4	sobotu
5	sdělil
6	předseda
7	Miloš
8	Zeman
9	na
10	otázku
11	,
12	kdo
13	by
14	se
15	měl
16	podílet
17	na
18	vyřešení
19	zadluženosti
20	ČSSD
21	,
22	jež
23	činí
24	80
25	miliónů
26	korun
27	.
Position	Tokenization	UPOS	Head	Deprel
1	LN	PROPN	5	iobj
2	to	DET	5	obj
3	v	ADP	4	case
4	sobotu	NOUN	5	obl
5	sdělil	VERB	0	root
6	předseda	NOUN	5	nsubj
7	Miloš	PROPN	6	flat
8	Zeman	PROPN	6	flat
9	na	ADP	10	case
10	otázku	NOUN	5	obl
11	,	PUNCT	15	punct
12	kdo	PRON	15	nsubj
13	by	AUX	15	aux
14	se	PRON	16	expl:pv
15	měl	VERB	10	acl
16	podílet	VERB	15	xcomp
17	na	ADP	18	case
18	vyřešení	NOUN	16	obl:arg
19	zadluženosti	NOUN	18	nmod
20	ČSSD	PROPN	19	nmod
21	,	PUNCT	23	punct
22	jež	PRON	23	nsubj
23	činí	VERB	19	acl:relcl
24	80	NUM	25	nummod:gov
25	miliónů	NOUN	23	obj
26	korun	NOUN	25	nmod
27	.	PUNCT	5	punct