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: Navíc, ať se nám to líbí či nelíbí, bez dohody dvou nejsilnějších parlamentních stran (která bude před každým rozhodnutím ve FS stvrzována závazným podpisem jejich klubů) neprojde v parlamentu ani myš.
Position	Tokenization	UPOS	Head	Deprel
1	Navíc	ADV	31	advmod
2	,	PUNCT	7	punct
3	ať	PART	7	cc
4	se	PRON	7	expl:pv
5	nám	PRON	7	obl:arg
6	to	DET	7	nsubj
7	líbí	VERB	31	advcl
8	či	CCONJ	9	cc
9	nelíbí	VERB	7	conj
10	,	PUNCT	7	punct
11	bez	ADP	12	case
12	dohody	NOUN	31	obl
13	dvou	NUM	16	nummod
14	nejsilnějších	ADJ	16	amod
15	parlamentních	ADJ	16	amod
16	stran	NOUN	12	nmod
17	(	PUNCT	25	punct
18	která	DET	25	nsubj:pass
19	bude	AUX	25	aux:pass
20	před	ADP	22	case
21	každým	DET	22	det
22	rozhodnutím	NOUN	25	obl
23	ve	ADP	24	case
24	FS	PROPN	22	nmod
25	stvrzována	ADJ	12	amod
26	závazným	ADJ	27	amod
27	podpisem	NOUN	25	obl
28	jejich	DET	29	det
29	klubů	NOUN	27	nmod
30	)	PUNCT	25	punct
31	neprojde	VERB	0	root
32	v	ADP	33	case
33	parlamentu	NOUN	31	obl
34	ani	CCONJ	35	advmod:emph
35	myš	NOUN	31	nsubj
36	.	PUNCT	31	punct