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:
Založil rovněž sdružení Sudetská pomoc a získal pro ně podniky, které shromáždily 500000 marek na zdravotnické zařízení porodního oddělení nemocnice v Duchcově.
Postion	Tokenization
1	Založil
2	rovněž
3	sdružení
4	Sudetská
5	pomoc
6	a
7	získal
8	pro
9	ně
10	podniky
11	,
12	které
13	shromáždily
14	500000
15	marek
16	na
17	zdravotnické
18	zařízení
19	porodního
20	oddělení
21	nemocnice
22	v
23	Duchcově
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Založil	VERB	0	root
2	rovněž	ADV	1	advmod:emph
3	sdružení	NOUN	1	obj
4	Sudetská	ADJ	5	amod
5	pomoc	NOUN	3	nmod
6	a	CCONJ	7	cc
7	získal	VERB	1	conj
8	pro	ADP	9	case
9	ně	PRON	7	obl:arg
10	podniky	NOUN	7	obj
11	,	PUNCT	13	punct
12	které	DET	13	nsubj
13	shromáždily	VERB	10	acl:relcl
14	500000	NUM	15	nummod:gov
15	marek	NOUN	13	obj
16	na	ADP	18	case
17	zdravotnické	ADJ	18	amod
18	zařízení	NOUN	14	nmod
19	porodního	ADJ	20	amod
20	oddělení	NOUN	18	nmod
21	nemocnice	NOUN	20	nmod
22	v	ADP	23	case
23	Duchcově	PROPN	21	nmod
24	.	PUNCT	1	punct