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: Při použití vodních extraktů, které jsou snáze dostupné zejména v rozvojových zemích, jsou nutné koncentrace 50krát vyšší a pro ošetření jednoho hektaru se předpokládá spotřeba extraktu z 10 kg semen stromu "neem".
Position	Tokenization	UPOS	Head	Deprel
1	Při	ADP	2	case
2	použití	NOUN	16	obl
3	vodních	ADJ	4	amod
4	extraktů	NOUN	2	nmod
5	,	PUNCT	9	punct
6	které	DET	9	nsubj
7	jsou	AUX	9	cop
8	snáze	ADV	9	advmod
9	dostupné	ADJ	4	acl:relcl
10	zejména	ADV	13	advmod:emph
11	v	ADP	13	case
12	rozvojových	ADJ	13	amod
13	zemích	NOUN	9	obl
14	,	PUNCT	9	punct
15	jsou	AUX	16	cop
16	nutné	ADJ	0	root
17	koncentrace	NOUN	16	nsubj
18	50	NUM	19	nummod
19	krát	CCONJ	20	advmod
20	vyšší	ADJ	17	amod
21	a	CCONJ	27	cc
22	pro	ADP	23	case
23	ošetření	NOUN	27	obl
24	jednoho	NUM	25	nummod
25	hektaru	NOUN	23	nmod
26	se	PRON	27	expl:pass
27	předpokládá	VERB	16	conj
28	spotřeba	NOUN	27	nsubj:pass
29	extraktu	NOUN	28	nmod
30	z	ADP	31	case
31	10	NUM	29	nummod
32	kg	NOUN	31	nmod
33	semen	NOUN	32	nmod
34	stromu	NOUN	33	nmod
35	"	PUNCT	36	punct
36	neem	NOUN	34	nmod
37	"	PUNCT	36	punct
38	.	PUNCT	16	punct