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: Podle Lecha Falandysze, který byl do minulého pátku hlavním prezidentovým právním poradcem, nebude-li prezident souhlasit se šéfy tří prezidentských resortů, pak neschválí vládu, i kdyby získala v parlamentě potřebnou většinu.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	Lecha	PROPN	27	obl
3	Falandysze	PROPN	2	flat
4	,	PUNCT	13	punct
5	který	DET	13	nsubj
6	byl	AUX	13	cop
7	do	ADP	9	case
8	minulého	ADJ	9	amod
9	pátku	NOUN	13	obl
10	hlavním	ADJ	13	amod
11	prezidentovým	ADJ	13	amod
12	právním	ADJ	13	amod
13	poradcem	NOUN	2	acl:relcl
14	,	PUNCT	19	punct
15	nebude	AUX	19	aux
16	-	PUNCT	19	punct
17	li	PART	19	mark
18	prezident	NOUN	19	nsubj
19	souhlasit	VERB	27	advcl
20	se	ADP	21	case
21	šéfy	NOUN	19	obl:arg
22	tří	NUM	24	nummod
23	prezidentských	ADJ	24	amod
24	resortů	NOUN	21	nmod
25	,	PUNCT	19	punct
26	pak	ADV	27	advmod
27	neschválí	VERB	0	root
28	vládu	NOUN	27	obj
29	,	PUNCT	33	punct
30	i	CCONJ	33	mark
31	kdyby	_	None	_
32	když	SCONJ	33	mark
33	by	AUX	33	aux
34	získala	VERB	27	advcl
35	v	ADP	35	case
36	parlamentě	NOUN	33	obl
37	potřebnou	ADJ	37	amod
38	většinu	NOUN	33	obj
39	.	PUNCT	27	punct