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:
V emancipaci žen vidí Populační fond OSN jeden z nejdůležitějších prostředků, jak stimulovat ekonomické a sociální změny a zbrzdit populační růst v zájmu trvalého rozvoje.
Postion	Tokenization
1	V
2	emancipaci
3	žen
4	vidí
5	Populační
6	fond
7	OSN
8	jeden
9	z
10	nejdůležitějších
11	prostředků
12	,
13	jak
14	stimulovat
15	ekonomické
16	a
17	sociální
18	změny
19	a
20	zbrzdit
21	populační
22	růst
23	v
24	zájmu
25	trvalého
26	rozvoje
27	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	emancipaci	NOUN	4	obl
3	žen	NOUN	2	nmod
4	vidí	VERB	0	root
5	Populační	ADJ	6	amod
6	fond	NOUN	4	nsubj
7	OSN	PROPN	6	nmod
8	jeden	NUM	4	obj
9	z	ADP	11	case
10	nejdůležitějších	ADJ	11	amod
11	prostředků	NOUN	8	nmod
12	,	PUNCT	14	punct
13	jak	ADV	14	advmod
14	stimulovat	VERB	11	acl
15	ekonomické	ADJ	18	amod
16	a	CCONJ	17	cc
17	sociální	ADJ	15	conj
18	změny	NOUN	14	obj
19	a	CCONJ	20	cc
20	zbrzdit	VERB	14	conj
21	populační	ADJ	22	amod
22	růst	NOUN	20	obj
23	v	ADP	26	case
24	zájmu	NOUN	23	fixed
25	trvalého	ADJ	26	amod
26	rozvoje	NOUN	20	obl
27	.	PUNCT	4	punct