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:
Dnes jsou k dostání pouze kvalitní a funkční repliky starých zbraní, které od výrobců z Francie a Španělska dováží do Ostravy obchodní společnost Arms Moravia Ostrava.
Postion	Tokenization
1	Dnes
2	jsou
3	k
4	dostání
5	pouze
6	kvalitní
7	a
8	funkční
9	repliky
10	starých
11	zbraní
12	,
13	které
14	od
15	výrobců
16	z
17	Francie
18	a
19	Španělska
20	dováží
21	do
22	Ostravy
23	obchodní
24	společnost
25	Arms
26	Moravia
27	Ostrava
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Dnes	ADV	2	advmod
2	jsou	VERB	0	root
3	k	ADP	4	case
4	dostání	NOUN	2	obl
5	pouze	ADV	9	advmod:emph
6	kvalitní	ADJ	9	amod
7	a	CCONJ	8	cc
8	funkční	ADJ	6	conj
9	repliky	NOUN	2	nsubj
10	starých	ADJ	11	amod
11	zbraní	NOUN	9	nmod
12	,	PUNCT	20	punct
13	které	DET	20	obj
14	od	ADP	15	case
15	výrobců	NOUN	20	obl
16	z	ADP	17	case
17	Francie	PROPN	15	nmod
18	a	CCONJ	19	cc
19	Španělska	PROPN	17	conj
20	dováží	VERB	9	acl:relcl
21	do	ADP	22	case
22	Ostravy	PROPN	20	obl
23	obchodní	ADJ	24	amod
24	společnost	NOUN	20	nsubj
25	Arms	PROPN	24	nmod
26	Moravia	PROPN	25	flat:foreign
27	Ostrava	PROPN	25	nmod
28	.	PUNCT	2	punct