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:
Potlesk sklidil projev norské premiérky Gro Harlemové Brundtlandové, v němž se soustředila na problémy rovnoprávnosti žen ve světě jako prostředku ke snížení růstu populace.
Postion	Tokenization
1	Potlesk
2	sklidil
3	projev
4	norské
5	premiérky
6	Gro
7	Harlemové
8	Brundtlandové
9	,
10	v
11	němž
12	se
13	soustředila
14	na
15	problémy
16	rovnoprávnosti
17	žen
18	ve
19	světě
20	jako
21	prostředku
22	ke
23	snížení
24	růstu
25	populace
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Potlesk	NOUN	2	obj
2	sklidil	VERB	0	root
3	projev	NOUN	2	nsubj
4	norské	ADJ	5	amod
5	premiérky	NOUN	3	nmod
6	Gro	PROPN	5	flat
7	Harlemové	PROPN	6	flat
8	Brundtlandové	PROPN	5	flat
9	,	PUNCT	13	punct
10	v	ADP	11	case
11	němž	PRON	13	obl
12	se	PRON	13	expl:pv
13	soustředila	VERB	3	acl:relcl
14	na	ADP	15	case
15	problémy	NOUN	13	obl:arg
16	rovnoprávnosti	NOUN	15	nmod
17	žen	NOUN	16	nmod
18	ve	ADP	19	case
19	světě	NOUN	16	nmod
20	jako	SCONJ	21	mark
21	prostředku	NOUN	16	xcomp
22	ke	ADP	23	case
23	snížení	NOUN	21	nmod
24	růstu	NOUN	23	nmod
25	populace	NOUN	24	nmod
26	.	PUNCT	2	punct