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:
Tato žena, přestože patří spíše k proudu kolem primátora Jiřího Horáka, je osobou kompromisní a v kuloárech se mluví i o tom, že by byla vhodnou osobou na post brněnské primátorky.
Postion	Tokenization
1	Tato
2	žena
3	,
4	přestože
5	patří
6	spíše
7	k
8	proudu
9	kolem
10	primátora
11	Jiřího
12	Horáka
13	,
14	je
15	osobou
16	kompromisní
17	a
18	v
19	kuloárech
20	se
21	mluví
22	i
23	o
24	tom
25	,
26	že
27	by
28	byla
29	vhodnou
30	osobou
31	na
32	post
33	brněnské
34	primátorky
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Tato	DET	2	det
2	žena	NOUN	15	nsubj
3	,	PUNCT	5	punct
4	přestože	SCONJ	5	mark
5	patří	VERB	2	advcl
6	spíše	ADV	5	advmod
7	k	ADP	8	case
8	proudu	NOUN	5	obl:arg
9	kolem	ADP	10	case
10	primátora	NOUN	8	nmod
11	Jiřího	PROPN	10	flat
12	Horáka	PROPN	10	flat
13	,	PUNCT	5	punct
14	je	AUX	15	cop
15	osobou	NOUN	0	root
16	kompromisní	ADJ	15	amod
17	a	CCONJ	21	cc
18	v	ADP	19	case
19	kuloárech	NOUN	21	obl
20	se	PRON	21	expl:pass
21	mluví	VERB	15	conj
22	i	CCONJ	24	advmod:emph
23	o	ADP	24	case
24	tom	DET	21	obl:arg
25	,	PUNCT	30	punct
26	že	SCONJ	30	mark
27	by	AUX	30	aux
28	byla	AUX	30	cop
29	vhodnou	ADJ	30	amod
30	osobou	NOUN	24	acl
31	na	ADP	32	case
32	post	NOUN	30	nmod
33	brněnské	ADJ	34	amod
34	primátorky	NOUN	32	nmod
35	.	PUNCT	15	punct