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:
Pro svoji představu podpory domácího disentu se také snažil získat významné příslušníky německé sociální demokracie, což usnadnilo zasílání potřebné literatury, finanční pomoci a další kontakty.
Postion	Tokenization
1	Pro
2	svoji
3	představu
4	podpory
5	domácího
6	disentu
7	se
8	také
9	snažil
10	získat
11	významné
12	příslušníky
13	německé
14	sociální
15	demokracie
16	,
17	což
18	usnadnilo
19	zasílání
20	potřebné
21	literatury
22	,
23	finanční
24	pomoci
25	a
26	další
27	kontakty
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Pro	ADP	3	case
2	svoji	DET	3	det
3	představu	NOUN	9	obl
4	podpory	NOUN	3	nmod
5	domácího	ADJ	6	amod
6	disentu	NOUN	4	nmod
7	se	PRON	9	expl:pv
8	také	ADV	9	advmod
9	snažil	VERB	0	root
10	získat	VERB	9	xcomp
11	významné	ADJ	12	amod
12	příslušníky	NOUN	10	obj
13	německé	ADJ	15	amod
14	sociální	ADJ	15	amod
15	demokracie	NOUN	12	nmod
16	,	PUNCT	18	punct
17	což	PRON	18	nsubj
18	usnadnilo	VERB	9	conj
19	zasílání	NOUN	18	obj
20	potřebné	ADJ	21	amod
21	literatury	NOUN	19	nmod
22	,	PUNCT	24	punct
23	finanční	ADJ	24	amod
24	pomoci	NOUN	19	conj
25	a	CCONJ	27	cc
26	další	ADJ	27	amod
27	kontakty	NOUN	19	conj
28	.	PUNCT	9	punct