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:
O sociálních službách a transformaci ústavů sociální péče na neziskové organizace informoval prezidenta Václava Havla na včerejším pracovním setkání ministr práce a sociálních věcí Jindřich Vodička.
Postion	Tokenization
1	O
2	sociálních
3	službách
4	a
5	transformaci
6	ústavů
7	sociální
8	péče
9	na
10	neziskové
11	organizace
12	informoval
13	prezidenta
14	Václava
15	Havla
16	na
17	včerejším
18	pracovním
19	setkání
20	ministr
21	práce
22	a
23	sociálních
24	věcí
25	Jindřich
26	Vodička
27	.
Position	Tokenization	UPOS	Head	Deprel
1	O	ADP	3	case
2	sociálních	ADJ	3	amod
3	službách	NOUN	12	obl:arg
4	a	CCONJ	5	cc
5	transformaci	NOUN	3	conj
6	ústavů	NOUN	5	nmod
7	sociální	ADJ	8	amod
8	péče	NOUN	6	nmod
9	na	ADP	11	case
10	neziskové	ADJ	11	amod
11	organizace	NOUN	5	nmod
12	informoval	VERB	0	root
13	prezidenta	NOUN	12	obj
14	Václava	PROPN	13	flat
15	Havla	PROPN	13	flat
16	na	ADP	19	case
17	včerejším	ADJ	19	amod
18	pracovním	ADJ	19	amod
19	setkání	NOUN	12	obl
20	ministr	NOUN	12	nsubj
21	práce	NOUN	20	nmod
22	a	CCONJ	24	cc
23	sociálních	ADJ	24	amod
24	věcí	NOUN	21	conj
25	Jindřich	PROPN	20	flat
26	Vodička	PROPN	20	flat
27	.	PUNCT	12	punct