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:
Za největší problém zřízení standardní česko-slovenské hranice považuje předseda HSDMS Jan Kryčer otázku financí nejen pro výstavbu potřebných budov a silnic, ale zejména pro zajištění technického systému ostrahy.
Postion	Tokenization
1	Za
2	největší
3	problém
4	zřízení
5	standardní
6	česko
7	-
8	slovenské
9	hranice
10	považuje
11	předseda
12	HSDMS
13	Jan
14	Kryčer
15	otázku
16	financí
17	nejen
18	pro
19	výstavbu
20	potřebných
21	budov
22	a
23	silnic
24	,
25	ale
26	zejména
27	pro
28	zajištění
29	technického
30	systému
31	ostrahy
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Za	ADP	3	case
2	největší	ADJ	3	amod
3	problém	NOUN	10	obl:arg
4	zřízení	NOUN	3	nmod
5	standardní	ADJ	9	amod
6	česko	ADJ	9	amod
7	-	PUNCT	8	punct
8	slovenské	ADJ	6	conj
9	hranice	NOUN	4	nmod
10	považuje	VERB	0	root
11	předseda	NOUN	10	nsubj
12	HSDMS	PROPN	11	nmod
13	Jan	PROPN	11	flat
14	Kryčer	PROPN	11	flat
15	otázku	NOUN	10	obj
16	financí	NOUN	15	nmod
17	nejen	PART	19	advmod:emph
18	pro	ADP	19	case
19	výstavbu	NOUN	16	nmod
20	potřebných	ADJ	21	amod
21	budov	NOUN	19	nmod
22	a	CCONJ	23	cc
23	silnic	NOUN	21	conj
24	,	PUNCT	28	punct
25	ale	CCONJ	28	cc
26	zejména	ADV	28	advmod:emph
27	pro	ADP	28	case
28	zajištění	NOUN	19	conj
29	technického	ADJ	30	amod
30	systému	NOUN	28	nmod
31	ostrahy	NOUN	30	nmod
32	.	PUNCT	10	punct