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:
Po fiasku s Čekanem se novým koněm předsedy ČSSD stala bývalá federální ministryně kontroly Květoslava Kořínková, která našla před časem cestu mezi sociální demokraty z řad OH.
Postion	Tokenization
1	Po
2	fiasku
3	s
4	Čekanem
5	se
6	novým
7	koněm
8	předsedy
9	ČSSD
10	stala
11	bývalá
12	federální
13	ministryně
14	kontroly
15	Květoslava
16	Kořínková
17	,
18	která
19	našla
20	před
21	časem
22	cestu
23	mezi
24	sociální
25	demokraty
26	z
27	řad
28	OH
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	2	case
2	fiasku	NOUN	10	obl
3	s	ADP	4	case
4	Čekanem	PROPN	2	nmod
5	se	PRON	10	expl:pv
6	novým	ADJ	7	amod
7	koněm	NOUN	10	obl:arg
8	předsedy	NOUN	7	nmod
9	ČSSD	PROPN	8	nmod
10	stala	VERB	0	root
11	bývalá	ADJ	13	amod
12	federální	ADJ	13	amod
13	ministryně	NOUN	10	nsubj
14	kontroly	NOUN	13	nmod
15	Květoslava	PROPN	13	flat
16	Kořínková	PROPN	13	flat
17	,	PUNCT	19	punct
18	která	DET	19	nsubj
19	našla	VERB	13	acl:relcl
20	před	ADP	21	case
21	časem	NOUN	19	obl
22	cestu	NOUN	19	obj
23	mezi	ADP	25	case
24	sociální	ADJ	25	amod
25	demokraty	NOUN	19	obl
26	z	ADP	27	case
27	řad	NOUN	25	nmod
28	OH	PROPN	27	nmod
29	.	PUNCT	10	punct