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 text: Fúze, založená na vzájemném prodeji akcií, umožní oběma firmám snížit náklady při výrobě zbraňových systémů, elektroniky a dalšího zboží v rámci kontraktu pro vládu i se soukromými zákazníky, uvedli zástupci obou koncernů.
Position	Tokenization	UPOS	Head	Deprel
1	Fúze	NOUN	9	nsubj
2	,	PUNCT	3	punct
3	založená	ADJ	1	amod
4	na	ADP	6	case
5	vzájemném	ADJ	6	amod
6	prodeji	NOUN	3	obl:arg
7	akcií	NOUN	6	nmod
8	,	PUNCT	3	punct
9	umožní	VERB	33	ccomp
10	oběma	NUM	11	nummod
11	firmám	NOUN	9	obl:arg
12	snížit	VERB	9	xcomp
13	náklady	NOUN	12	obj
14	při	ADP	15	case
15	výrobě	NOUN	13	nmod
16	zbraňových	ADJ	17	amod
17	systémů	NOUN	15	nmod
18	,	PUNCT	19	punct
19	elektroniky	NOUN	17	conj
20	a	CCONJ	22	cc
21	dalšího	ADJ	22	amod
22	zboží	NOUN	17	conj
23	v	ADP	25	case
24	rámci	NOUN	23	fixed
25	kontraktu	NOUN	12	obl
26	pro	ADP	27	case
27	vládu	NOUN	25	nmod
28	i	CCONJ	31	cc
29	se	ADP	31	case
30	soukromými	ADJ	31	amod
31	zákazníky	NOUN	27	conj
32	,	PUNCT	9	punct
33	uvedli	VERB	0	root
34	zástupci	NOUN	33	nsubj
35	obou	NUM	36	nummod
36	koncernů	NOUN	34	nmod
37	.	PUNCT	33	punct