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:
Největší slabinou RB je podle něho to, že zúčastněné opoziční strany kopírovaly koaliční smlouvu a rozdělily si resorty bez ohledu na odborné kvality svých zástupců.
Postion	Tokenization
1	Největší
2	slabinou
3	RB
4	je
5	podle
6	něho
7	to
8	,
9	že
10	zúčastněné
11	opoziční
12	strany
13	kopírovaly
14	koaliční
15	smlouvu
16	a
17	rozdělily
18	si
19	resorty
20	bez
21	ohledu
22	na
23	odborné
24	kvality
25	svých
26	zástupců
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Největší	ADJ	2	amod
2	slabinou	NOUN	0	root
3	RB	PROPN	2	nmod
4	je	AUX	2	cop
5	podle	ADP	6	case
6	něho	PRON	2	obl
7	to	DET	2	nsubj
8	,	PUNCT	13	punct
9	že	SCONJ	13	mark
10	zúčastněné	ADJ	12	amod
11	opoziční	ADJ	12	amod
12	strany	NOUN	13	nsubj
13	kopírovaly	VERB	7	acl
14	koaliční	ADJ	15	amod
15	smlouvu	NOUN	13	obj
16	a	CCONJ	17	cc
17	rozdělily	VERB	13	conj
18	si	PRON	17	obl
19	resorty	NOUN	17	obj
20	bez	ADP	24	case
21	ohledu	NOUN	20	fixed
22	na	ADP	20	fixed
23	odborné	ADJ	24	amod
24	kvality	NOUN	17	obl
25	svých	DET	26	det
26	zástupců	NOUN	24	nmod
27	.	PUNCT	2	punct