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:
Estonců je v Estonsku zhruba 60 procent, Lotyšů v Lotyšsku asi polovina (přičemž v hlavním městě Rize jsou Rusové v převaze).
Postion	Tokenization
1	Estonců
2	je
3	v
4	Estonsku
5	zhruba
6	60
7	procent
8	_
9	,
10	Lotyšů
11	v
12	Lotyšsku
13	asi
14	polovina
15	(
16	přičemž
17	v
18	hlavním
19	městě
20	Rize
21	jsou
22	Rusové
23	v
24	převaze
25	)
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Estonců	PROPN	7	nmod
2	je	VERB	0	root
3	v	ADP	4	case
4	Estonsku	PROPN	2	obl
5	zhruba	ADV	6	advmod:emph
6	60	NUM	7	nummod:gov
7	procent	NOUN	2	nsubj
8	_	_	None	_
9	,	PUNCT	11	punct
10	Lotyšů	PROPN	13	nmod
11	v	ADP	11	case
12	Lotyšsku	PROPN	2	conj
13	asi	PART	13	advmod:emph
14	polovina	NOUN	11	orphan
15	(	PUNCT	20	punct
16	přičemž	ADV	20	advmod
17	v	ADP	18	case
18	hlavním	ADJ	18	amod
19	městě	NOUN	20	obl
20	Rize	NOUN	18	nmod
21	jsou	VERB	2	parataxis
22	Rusové	PROPN	20	nsubj
23	v	ADP	23	case
24	převaze	NOUN	20	obl
25	)	PUNCT	20	punct
26	.	PUNCT	2	punct