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: Prodávají se hlavně velké stroje, ale my připravujeme pro střední farmáře postřikovač TWIN v ekonomické variantě, který se kvalitou však vyrovná špičkovým postřikovačům, řekl zástupce firmy HARDI Jiří Helinger.
Position	Tokenization	UPOS	Head	Deprel
1	Prodávají	VERB	27	ccomp
2	se	PRON	1	expl:pass
3	hlavně	ADV	5	advmod:emph
4	velké	ADJ	5	amod
5	stroje	NOUN	1	nsubj:pass
6	,	PUNCT	9	punct
7	ale	CCONJ	9	cc
8	my	PRON	9	nsubj
9	připravujeme	VERB	1	conj
10	pro	ADP	12	case
11	střední	ADJ	12	amod
12	farmáře	NOUN	9	obl
13	postřikovač	NOUN	9	obj
14	TWIN	PROPN	13	nmod
15	v	ADP	17	case
16	ekonomické	ADJ	17	amod
17	variantě	NOUN	14	nmod
18	,	PUNCT	23	punct
19	který	DET	23	nsubj
20	se	PRON	23	expl:pv
21	kvalitou	NOUN	23	obl
22	však	CCONJ	23	cc
23	vyrovná	VERB	13	acl:relcl
24	špičkovým	ADJ	25	amod
25	postřikovačům	NOUN	23	obl:arg
26	,	PUNCT	1	punct
27	řekl	VERB	0	root
28	zástupce	NOUN	27	nsubj
29	firmy	NOUN	28	nmod
30	HARDI	PROPN	29	nmod
31	Jiří	PROPN	28	flat
32	Helinger	PROPN	28	flat
33	.	PUNCT	27	punct