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: Založila ji známá televizní moderátorka a producentka Esther Rantzenová, která se včera v Praze zúčastnila otevření Linky společně s ředitelem britské organizace na ochranu dětí (NSPCC) Chrisem Brownem.
Position	Tokenization	UPOS	Head	Deprel
1	Založila	VERB	0	root
2	ji	PRON	1	obj
3	známá	ADJ	5	amod
4	televizní	ADJ	5	amod
5	moderátorka	NOUN	8	nmod
6	a	CCONJ	7	cc
7	producentka	NOUN	5	conj
8	Esther	PROPN	1	nsubj
9	Rantzenová	PROPN	8	flat
10	,	PUNCT	16	punct
11	která	DET	16	nsubj
12	se	PRON	16	expl:pv
13	včera	ADV	16	advmod
14	v	ADP	15	case
15	Praze	PROPN	16	obl
16	zúčastnila	VERB	8	acl:relcl
17	otevření	NOUN	16	obl:arg
18	Linky	NOUN	17	nmod
19	společně	ADV	21	case
20	s	ADP	19	fixed
21	ředitelem	NOUN	16	obl
22	britské	ADJ	23	amod
23	organizace	NOUN	21	nmod
24	na	ADP	25	case
25	ochranu	NOUN	23	nmod
26	dětí	NOUN	25	nmod
27	(	PUNCT	28	punct
28	NSPCC	PROPN	23	appos
29	)	PUNCT	28	punct
30	Chrisem	PROPN	21	flat
31	Brownem	PROPN	21	flat
32	.	PUNCT	1	punct