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:
Moravské chemické závody v Ostravě totiž na ohlášené snížení a následné zastavení výroby koksu v Ostravě reagovaly instalováním technologie, která vodík získává ze zemního plynu.
Postion	Tokenization
1	Moravské
2	chemické
3	závody
4	v
5	Ostravě
6	totiž
7	na
8	ohlášené
9	snížení
10	a
11	následné
12	zastavení
13	výroby
14	koksu
15	v
16	Ostravě
17	reagovaly
18	instalováním
19	technologie
20	,
21	která
22	vodík
23	získává
24	ze
25	zemního
26	plynu
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Moravské	ADJ	3	amod
2	chemické	ADJ	3	amod
3	závody	NOUN	17	nsubj
4	v	ADP	5	case
5	Ostravě	PROPN	3	nmod
6	totiž	ADV	17	advmod
7	na	ADP	9	case
8	ohlášené	ADJ	9	amod
9	snížení	NOUN	17	obl:arg
10	a	CCONJ	12	cc
11	následné	ADJ	12	amod
12	zastavení	NOUN	9	conj
13	výroby	NOUN	12	nmod
14	koksu	NOUN	13	nmod
15	v	ADP	16	case
16	Ostravě	PROPN	13	nmod
17	reagovaly	VERB	0	root
18	instalováním	NOUN	17	obl
19	technologie	NOUN	18	nmod
20	,	PUNCT	23	punct
21	která	DET	23	nsubj
22	vodík	NOUN	23	obj
23	získává	VERB	19	acl:relcl
24	ze	ADP	26	case
25	zemního	ADJ	26	amod
26	plynu	NOUN	23	obl
27	.	PUNCT	17	punct