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: V parlamentu jsou sice poměrně početné skupiny zaměřené proti vládě a premiérovi, avšak i ony jsou si vědomy toho, že je zapotřebí co nejrychleji změnit image Ruska v cizině a získat více zahraničního kapitálu.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	parlamentu	NOUN	3	obl
3	jsou	VERB	0	root
4	sice	ADV	19	cc
5	poměrně	ADV	6	advmod
6	početné	ADJ	7	amod
7	skupiny	NOUN	3	nsubj
8	zaměřené	ADJ	7	amod
9	proti	ADP	10	case
10	vládě	NOUN	8	obl
11	a	CCONJ	12	cc
12	premiérovi	NOUN	10	conj
13	,	PUNCT	19	punct
14	avšak	CCONJ	19	cc
15	i	CCONJ	16	advmod:emph
16	ony	PRON	19	nsubj
17	jsou	AUX	19	cop
18	si	PRON	19	expl:pv
19	vědomy	ADJ	3	conj
20	toho	DET	19	obl:arg
21	,	PUNCT	24	punct
22	že	SCONJ	24	mark
23	je	AUX	24	cop
24	zapotřebí	ADV	20	acl
25	co	ADV	26	advmod
26	nejrychleji	ADV	27	advmod
27	změnit	VERB	24	csubj
28	image	NOUN	27	obj
29	Ruska	PROPN	28	nmod
30	v	ADP	31	case
31	cizině	NOUN	28	nmod
32	a	CCONJ	33	cc
33	získat	VERB	27	conj
34	více	ADV	33	obj
35	zahraničního	ADJ	36	amod
36	kapitálu	NOUN	34	nmod
37	.	PUNCT	3	punct