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:
Vláda přitom měla jen minimální možnosti, jak tuto situaci řešit, a bohužel neměla ani koncepci hospodářské politiky, která by vedla k vyrovnání nejkřiklavějších disproporcí.
Postion	Tokenization
1	Vláda
2	přitom
3	měla
4	jen
5	minimální
6	možnosti
7	,
8	jak
9	tuto
10	situaci
11	řešit
12	,
13	a
14	bohužel
15	neměla
16	ani
17	koncepci
18	hospodářské
19	politiky
20	,
21	která
22	by
23	vedla
24	k
25	vyrovnání
26	nejkřiklavějších
27	disproporcí
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Vláda	NOUN	3	nsubj
2	přitom	ADV	3	advmod
3	měla	VERB	0	root
4	jen	PART	6	advmod:emph
5	minimální	ADJ	6	amod
6	možnosti	NOUN	3	obj
7	,	PUNCT	11	punct
8	jak	ADV	11	advmod
9	tuto	DET	10	det
10	situaci	NOUN	11	obj
11	řešit	VERB	6	acl
12	,	PUNCT	15	punct
13	a	CCONJ	15	cc
14	bohužel	PART	15	advmod
15	neměla	VERB	3	conj
16	ani	CCONJ	17	advmod:emph
17	koncepci	NOUN	15	obj
18	hospodářské	ADJ	19	amod
19	politiky	NOUN	17	nmod
20	,	PUNCT	23	punct
21	která	DET	23	nsubj
22	by	AUX	23	aux
23	vedla	VERB	19	acl:relcl
24	k	ADP	25	case
25	vyrovnání	NOUN	23	obl
26	nejkřiklavějších	ADJ	27	amod
27	disproporcí	NOUN	25	nmod
28	.	PUNCT	3	punct