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:
Je ovšem také pravda, že většina afrických zemí si částečně, zato významně může pomoci sama tím, že radikálně omezí výdaje na neproduktivní odvětví, především na armádu.
Postion	Tokenization
1	Je
2	ovšem
3	také
4	pravda
5	,
6	že
7	většina
8	afrických
9	zemí
10	si
11	částečně
12	,
13	zato
14	významně
15	může
16	pomoci
17	sama
18	tím
19	,
20	že
21	radikálně
22	omezí
23	výdaje
24	na
25	neproduktivní
26	odvětví
27	,
28	především
29	na
30	armádu
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Je	AUX	4	cop
2	ovšem	CCONJ	4	cc
3	také	ADV	4	advmod
4	pravda	NOUN	0	root
5	,	PUNCT	15	punct
6	že	SCONJ	15	mark
7	většina	NOUN	15	nsubj
8	afrických	ADJ	9	amod
9	zemí	NOUN	7	nmod
10	si	PRON	16	obl:arg
11	částečně	ADV	16	advmod
12	,	PUNCT	14	punct
13	zato	ADV	14	cc
14	významně	ADV	11	conj
15	může	VERB	4	csubj
16	pomoci	VERB	15	xcomp
17	sama	DET	7	xcomp
18	tím	DET	16	obl
19	,	PUNCT	22	punct
20	že	SCONJ	22	mark
21	radikálně	ADV	22	advmod
22	omezí	VERB	18	acl
23	výdaje	NOUN	22	obj
24	na	ADP	26	case
25	neproduktivní	ADJ	26	amod
26	odvětví	NOUN	23	nmod
27	,	PUNCT	30	punct
28	především	ADV	30	advmod:emph
29	na	ADP	30	case
30	armádu	NOUN	26	conj
31	.	PUNCT	4	punct