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: Je to žena, která něčemu rozumí, která umí chápat, která dokáže být tolerantní a přitom naprosto pevně stát za základními věcmi, které jsou rozhodující pro demokracii a její fungování, říká Jiří Dienstbier.
Position	Tokenization	UPOS	Head	Deprel
1	Je	AUX	3	cop
2	to	DET	3	nsubj
3	žena	NOUN	35	ccomp
4	,	PUNCT	7	punct
5	která	DET	7	nsubj
6	něčemu	PRON	7	obl:arg
7	rozumí	VERB	3	acl:relcl
8	,	PUNCT	10	punct
9	která	DET	10	nsubj
10	umí	VERB	7	conj
11	chápat	VERB	10	xcomp
12	,	PUNCT	14	punct
13	která	DET	14	nsubj
14	dokáže	VERB	7	conj
15	být	AUX	16	cop
16	tolerantní	ADJ	14	xcomp
17	a	CCONJ	21	cc
18	přitom	ADV	21	advmod
19	naprosto	ADV	20	advmod
20	pevně	ADV	21	advmod
21	stát	VERB	16	conj
22	za	ADP	24	case
23	základními	ADJ	24	amod
24	věcmi	NOUN	21	obl
25	,	PUNCT	28	punct
26	které	DET	28	nsubj
27	jsou	AUX	28	cop
28	rozhodující	ADJ	24	acl:relcl
29	pro	ADP	30	case
30	demokracii	NOUN	28	obl
31	a	CCONJ	33	cc
32	její	DET	33	det
33	fungování	NOUN	30	conj
34	,	PUNCT	3	punct
35	říká	VERB	0	root
36	Jiří	PROPN	35	nsubj
37	Dienstbier	PROPN	36	flat
38	.	PUNCT	35	punct