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: Akční plán konference hodlá zavázat světové společenství v letech 1995- 2015 k opatřením ve třech základních vzájemně propojených oblastech:- Vzdělání (60% z 960 milionů negramotných dospělých tvoří ženy a ze 130 milionů dětí, které nenavštěvují základní školy, připadá 70% na dívky.);
Position	Tokenization	UPOS	Head	Deprel
1	Akční	ADJ	2	amod
2	plán	NOUN	4	nsubj
3	konference	NOUN	2	nmod
4	hodlá	VERB	0	root
5	zavázat	VERB	4	xcomp
6	světové	ADJ	7	amod
7	společenství	NOUN	5	obj
8	v	ADP	9	case
9	letech	NOUN	5	obl
10	1995	NUM	9	nummod
11	-	PUNCT	12	punct
12	2015	NUM	10	conj
13	k	ADP	14	case
14	opatřením	NOUN	5	obl:arg
15	ve	ADP	20	case
16	třech	NUM	20	nummod
17	základních	ADJ	20	amod
18	vzájemně	ADV	19	advmod
19	propojených	ADJ	20	amod
20	oblastech	NOUN	14	nmod
21	:	PUNCT	23	punct
22	-	PUNCT	23	punct
23	Vzdělání	NOUN	20	nmod
24	(	PUNCT	32	punct
25	60	NUM	32	obj
26	%	SYM	25	nmod
27	z	ADP	29	case
28	960	NUM	29	nummod
29	milionů	NOUN	26	nmod
30	negramotných	ADJ	31	amod
31	dospělých	NOUN	29	nmod
32	tvoří	VERB	23	parataxis
33	ženy	NOUN	32	nsubj
34	a	CCONJ	45	cc
35	ze	ADP	37	case
36	130	NUM	37	nummod
37	milionů	NOUN	45	obl
38	dětí	NOUN	37	nmod
39	,	PUNCT	41	punct
40	které	DET	41	nsubj
41	nenavštěvují	VERB	38	acl:relcl
42	základní	ADJ	43	amod
43	školy	NOUN	41	obj
44	,	PUNCT	41	punct
45	připadá	VERB	32	conj
46	70	NUM	45	nsubj
47	%	SYM	46	nmod
48	na	ADP	49	case
49	dívky	NOUN	45	obl:arg
50	.	PUNCT	32	punct
51	)	PUNCT	32	punct
52	;	PUNCT	4	punct