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:
Nadace nazvaná Pražské srdce, jejímž cílem je podpora a rozšíření léčebné a preventivní kardiologické péče, byla včera založena v nemocnici na Homolce, Roentgenova ul. 2.
Postion	Tokenization
1	Nadace
2	nazvaná
3	Pražské
4	srdce
5	,
6	jejímž
7	cílem
8	je
9	podpora
10	a
11	rozšíření
12	léčebné
13	a
14	preventivní
15	kardiologické
16	péče
17	,
18	byla
19	včera
20	založena
21	v
22	nemocnici
23	na
24	Homolce
25	,
26	Roentgenova
27	ul
28	.
29	2
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Nadace	NOUN	20	nsubj:pass
2	nazvaná	ADJ	1	amod
3	Pražské	ADJ	4	amod
4	srdce	NOUN	2	obj
5	,	PUNCT	7	punct
6	jejímž	DET	7	det
7	cílem	NOUN	1	acl:relcl
8	je	AUX	7	cop
9	podpora	NOUN	7	nsubj
10	a	CCONJ	11	cc
11	rozšíření	NOUN	9	conj
12	léčebné	ADJ	16	amod
13	a	CCONJ	14	cc
14	preventivní	ADJ	12	conj
15	kardiologické	ADJ	16	amod
16	péče	NOUN	9	nmod
17	,	PUNCT	7	punct
18	byla	AUX	20	aux:pass
19	včera	ADV	20	advmod
20	založena	ADJ	0	root
21	v	ADP	22	case
22	nemocnici	NOUN	20	obl
23	na	ADP	24	case
24	Homolce	PROPN	22	nmod
25	,	PUNCT	27	punct
26	Roentgenova	ADJ	27	amod
27	ul	NOUN	22	nmod
28	.	PUNCT	27	punct
29	2	NUM	27	nummod
30	.	PUNCT	20	punct