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:
Za všechny se snad nejvýstižněji vyjádřil "skalní demokrat", bývalý ministr financí Boris Fjodorov, který minulý víkend založil novou stranu s názvem "Kupředu, Rusko!"
Postion	Tokenization
1	Za
2	všechny
3	se
4	snad
5	nejvýstižněji
6	vyjádřil
7	"
8	skalní
9	demokrat
10	"
11	,
12	bývalý
13	ministr
14	financí
15	Boris
16	Fjodorov
17	,
18	který
19	minulý
20	víkend
21	založil
22	novou
23	stranu
24	s
25	názvem
26	"
27	Kupředu
28	,
29	Rusko
30	!
31	"
Position	Tokenization	UPOS	Head	Deprel
1	Za	ADP	2	case
2	všechny	DET	6	obl
3	se	PRON	6	expl:pv
4	snad	ADV	5	advmod:emph
5	nejvýstižněji	ADV	6	advmod
6	vyjádřil	VERB	0	root
7	"	PUNCT	9	punct
8	skalní	ADJ	9	amod
9	demokrat	NOUN	6	nsubj
10	"	PUNCT	9	punct
11	,	PUNCT	13	punct
12	bývalý	ADJ	13	amod
13	ministr	NOUN	9	appos
14	financí	NOUN	13	nmod
15	Boris	PROPN	13	flat
16	Fjodorov	PROPN	13	flat
17	,	PUNCT	21	punct
18	který	DET	21	nsubj
19	minulý	ADJ	20	amod
20	víkend	NOUN	21	obl
21	založil	VERB	9	acl:relcl
22	novou	ADJ	23	amod
23	stranu	NOUN	21	obj
24	s	ADP	25	case
25	názvem	NOUN	23	nmod
26	"	PUNCT	25	punct
27	Kupředu	ADV	25	dep
28	,	PUNCT	25	punct
29	Rusko	PROPN	25	vocative
30	!	PUNCT	6	punct
31	"	PUNCT	6	punct