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: Za Gorbačova se přestěhovali do známého Bílého domu na nábřeží, za Jelcina se zmocnili kromě Kremlu a Bílého domu dalších osmi obrovitých budov (celkem 500000 m2 'úřednické' plochy) a usilují o další prostory.
Position	Tokenization	UPOS	Head	Deprel
1	Za	ADP	2	case
2	Gorbačova	PROPN	4	obl
3	se	PRON	4	expl:pv
4	přestěhovali	VERB	0	root
5	do	ADP	8	case
6	známého	ADJ	8	amod
7	Bílého	ADJ	8	amod
8	domu	NOUN	4	obl
9	na	ADP	10	case
10	nábřeží	NOUN	8	nmod
11	,	PUNCT	15	punct
12	za	ADP	13	case
13	Jelcina	PROPN	15	obl
14	se	PRON	15	expl:pv
15	zmocnili	VERB	4	conj
16	kromě	ADP	17	case
17	Kremlu	PROPN	15	obl
18	a	CCONJ	20	cc
19	Bílého	ADJ	20	amod
20	domu	NOUN	17	conj
21	dalších	ADJ	24	amod
22	osmi	NUM	24	nummod
23	obrovitých	ADJ	24	amod
24	budov	NOUN	15	obl:arg
25	(	PUNCT	24	punct
26	celkem	ADV	27	advmod:emph
27	500000	NUM	24	dep
28	m	NOUN	27	nmod
29	2	NUM	28	nummod
30	'	PUNCT	31	punct
31	úřednické	ADJ	33	amod
32	'	PUNCT	31	punct
33	plochy	NOUN	28	nmod
34	)	PUNCT	24	punct
35	a	CCONJ	36	cc
36	usilují	VERB	15	conj
37	o	ADP	39	case
38	další	ADJ	39	amod
39	prostory	NOUN	36	obl:arg
40	.	PUNCT	4	punct