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:
Tuto akci pro ně zorganizovalo rakouské velvyslanectví v České republice a na jeho podnět cestu dětí i veškeré náklady související s pobytem v Alpách hradí rakouská sociální organizace Volkshilfe.
Postion	Tokenization
1	Tuto
2	akci
3	pro
4	ně
5	zorganizovalo
6	rakouské
7	velvyslanectví
8	v
9	České
10	republice
11	a
12	na
13	jeho
14	podnět
15	cestu
16	dětí
17	i
18	veškeré
19	náklady
20	související
21	s
22	pobytem
23	v
24	Alpách
25	hradí
26	rakouská
27	sociální
28	organizace
29	Volkshilfe
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Tuto	DET	2	det
2	akci	NOUN	5	obj
3	pro	ADP	4	case
4	ně	PRON	5	obl
5	zorganizovalo	VERB	0	root
6	rakouské	ADJ	7	amod
7	velvyslanectví	NOUN	5	nsubj
8	v	ADP	10	case
9	České	ADJ	10	amod
10	republice	NOUN	7	nmod
11	a	CCONJ	25	cc
12	na	ADP	14	case
13	jeho	DET	14	det
14	podnět	NOUN	25	obl
15	cestu	NOUN	25	obj
16	dětí	NOUN	15	nmod
17	i	CCONJ	19	cc
18	veškeré	PRON	19	nmod
19	náklady	NOUN	15	conj
20	související	ADJ	19	amod
21	s	ADP	22	case
22	pobytem	NOUN	20	obl:arg
23	v	ADP	24	case
24	Alpách	PROPN	22	nmod
25	hradí	VERB	5	conj
26	rakouská	ADJ	28	amod
27	sociální	ADJ	28	amod
28	organizace	NOUN	25	nsubj
29	Volkshilfe	PROPN	28	nmod
30	.	PUNCT	5	punct