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:
Nebývalý růst poptávky po prezervativech, které každoročně v rámci své pomoci rozděluje Americká agentura pro rozvoj do zemí třetího světa, její činitele nemálo překvapil.
Postion	Tokenization
1	Nebývalý
2	růst
3	poptávky
4	po
5	prezervativech
6	,
7	které
8	každoročně
9	v
10	rámci
11	své
12	pomoci
13	rozděluje
14	Americká
15	agentura
16	pro
17	rozvoj
18	do
19	zemí
20	třetího
21	světa
22	,
23	její
24	činitele
25	nemálo
26	překvapil
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Nebývalý	ADJ	2	amod
2	růst	NOUN	26	nsubj
3	poptávky	NOUN	2	nmod
4	po	ADP	5	case
5	prezervativech	NOUN	3	nmod
6	,	PUNCT	13	punct
7	které	DET	13	obj
8	každoročně	ADV	13	advmod
9	v	ADP	10	case
10	rámci	NOUN	13	obl
11	své	DET	12	det
12	pomoci	NOUN	10	nmod
13	rozděluje	VERB	5	acl:relcl
14	Americká	ADJ	15	amod
15	agentura	NOUN	13	nsubj
16	pro	ADP	17	case
17	rozvoj	NOUN	15	nmod
18	do	ADP	19	case
19	zemí	NOUN	13	obl
20	třetího	ADJ	21	amod
21	světa	NOUN	19	nmod
22	,	PUNCT	13	punct
23	její	DET	24	det
24	činitele	NOUN	26	obj
25	nemálo	ADV	26	advmod
26	překvapil	VERB	0	root
27	.	PUNCT	26	punct