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:
Po roce 1990 ustal veškerý zájem o stavební práce pro armádu (pokles zakázek ze 75 procent na pět procent) a společnost se musela přeorientovat na civilní sektor.
Postion	Tokenization
1	Po
2	roce
3	1990
4	ustal
5	veškerý
6	zájem
7	o
8	stavební
9	práce
10	pro
11	armádu
12	(
13	pokles
14	zakázek
15	ze
16	75
17	procent
18	na
19	pět
20	procent
21	)
22	a
23	společnost
24	se
25	musela
26	přeorientovat
27	na
28	civilní
29	sektor
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	2	case
2	roce	NOUN	4	obl
3	1990	NUM	2	nummod
4	ustal	VERB	0	root
5	veškerý	PRON	6	nmod
6	zájem	NOUN	4	nsubj
7	o	ADP	9	case
8	stavební	ADJ	9	amod
9	práce	NOUN	6	nmod
10	pro	ADP	11	case
11	armádu	NOUN	9	nmod
12	(	PUNCT	4	punct
13	pokles	NOUN	4	dep
14	zakázek	NOUN	13	nmod
15	ze	ADP	17	case
16	75	NUM	17	nummod
17	procent	NOUN	13	nmod
18	na	ADP	20	case
19	pět	NUM	20	nummod:gov
20	procent	NOUN	13	nmod
21	)	PUNCT	4	punct
22	a	CCONJ	25	cc
23	společnost	NOUN	25	nsubj
24	se	PRON	26	expl:pv
25	musela	VERB	4	conj
26	přeorientovat	VERB	25	xcomp
27	na	ADP	29	case
28	civilní	ADJ	29	amod
29	sektor	NOUN	26	obl:arg
30	.	PUNCT	4	punct