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: Důsledkem tohoto vývoje ve sféře finanční jsou stále stoupající náklady na sociální programy, a tedy i stále vyšší míra zdanění, menší prostor pro vlastní odpovědnost a - což je totéž - pro svobodu.
Position	Tokenization	UPOS	Head	Deprel
1	Důsledkem	NOUN	0	root
2	tohoto	DET	3	det
3	vývoje	NOUN	1	nmod
4	ve	ADP	5	case
5	sféře	NOUN	3	nmod
6	finanční	ADJ	5	amod
7	jsou	AUX	1	cop
8	stále	ADV	9	advmod
9	stoupající	ADJ	10	amod
10	náklady	NOUN	1	nsubj
11	na	ADP	13	case
12	sociální	ADJ	13	amod
13	programy	NOUN	10	nmod
14	,	PUNCT	20	punct
15	a	CCONJ	20	cc
16	tedy	ADV	20	cc
17	i	CCONJ	20	advmod:emph
18	stále	ADV	19	advmod
19	vyšší	ADJ	20	amod
20	míra	NOUN	10	conj
21	zdanění	NOUN	20	nmod
22	,	PUNCT	24	punct
23	menší	ADJ	24	amod
24	prostor	NOUN	20	conj
25	pro	ADP	27	case
26	vlastní	ADJ	27	amod
27	odpovědnost	NOUN	24	nmod
28	a	CCONJ	35	cc
29	-	PUNCT	32	punct
30	což	PRON	32	nsubj
31	je	AUX	32	cop
32	totéž	DET	35	parataxis
33	-	PUNCT	32	punct
34	pro	ADP	35	case
35	svobodu	NOUN	27	conj
36	.	PUNCT	1	punct