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:
Před listopadovou revolucí představovala zbrojní produkce 60 až 70 procent z celkového objemu výroby ZTS, dnes je to přibližně pět procent (náhradní díly).
Postion	Tokenization
1	Před
2	listopadovou
3	revolucí
4	představovala
5	zbrojní
6	produkce
7	60
8	až
9	70
10	procent
11	z
12	celkového
13	objemu
14	výroby
15	ZTS
16	,
17	dnes
18	je
19	to
20	přibližně
21	pět
22	procent
23	(
24	náhradní
25	díly
26	)
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Před	ADP	3	case
2	listopadovou	ADJ	3	amod
3	revolucí	NOUN	4	obl
4	představovala	VERB	0	root
5	zbrojní	ADJ	6	amod
6	produkce	NOUN	4	nsubj
7	60	NUM	10	nummod:gov
8	až	CCONJ	9	cc
9	70	NUM	7	conj
10	procent	NOUN	4	obj
11	z	ADP	13	case
12	celkového	ADJ	13	amod
13	objemu	NOUN	10	nmod
14	výroby	NOUN	13	nmod
15	ZTS	PROPN	14	nmod
16	,	PUNCT	22	punct
17	dnes	ADV	22	advmod
18	je	AUX	22	cop
19	to	DET	22	nsubj
20	přibližně	ADV	21	advmod
21	pět	NUM	22	nummod:gov
22	procent	NOUN	4	conj
23	(	PUNCT	25	punct
24	náhradní	ADJ	25	amod
25	díly	NOUN	21	dep
26	)	PUNCT	25	punct
27	.	PUNCT	4	punct