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: Filip Dimitrov, předseda SDS, druhé nejsilnější parlamentní síly po socialistické (bývalé komunistické) straně, prohlásil, že pokud SDS ve volbách zvítězí, bude v oblasti financí nastolena železná disciplína.
Position	Tokenization	UPOS	Head	Deprel
1	Filip	PROPN	19	nsubj
2	Dimitrov	PROPN	1	flat
3	,	PUNCT	4	punct
4	předseda	NOUN	1	appos
5	SDS	PROPN	4	nmod
6	,	PUNCT	10	punct
7	druhé	ADJ	10	amod
8	nejsilnější	ADJ	10	amod
9	parlamentní	ADJ	10	amod
10	síly	NOUN	5	appos
11	po	ADP	17	case
12	socialistické	ADJ	17	amod
13	(	PUNCT	14	punct
14	bývalé	ADJ	12	appos
15	komunistické	ADJ	12	appos
16	)	PUNCT	12	punct
17	straně	NOUN	8	obl
18	,	PUNCT	10	punct
19	prohlásil	VERB	0	root
20	,	PUNCT	32	punct
21	že	SCONJ	32	mark
22	pokud	SCONJ	26	mark
23	SDS	PROPN	26	nsubj
24	ve	ADP	25	case
25	volbách	NOUN	26	obl
26	zvítězí	VERB	32	advcl
27	,	PUNCT	26	punct
28	bude	AUX	32	aux:pass
29	v	ADP	31	case
30	oblasti	NOUN	29	fixed
31	financí	NOUN	32	obl
32	nastolena	ADJ	19	obj
33	železná	ADJ	34	amod
34	disciplína	NOUN	32	nsubj:pass
35	.	PUNCT	19	punct