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:
Jak vyplynulo z dalších výsledků ankety, kterou uspořádal Sociálně ekonomický ústav ČSAV v Ústí nad Labem, zaznamenala největší nárůst sympatizujících ČSSD, pro kterou by nyní hlasovalo 11 procent voličů.
Postion	Tokenization
1	Jak
2	vyplynulo
3	z
4	dalších
5	výsledků
6	ankety
7	,
8	kterou
9	uspořádal
10	Sociálně
11	ekonomický
12	ústav
13	ČSAV
14	v
15	Ústí
16	nad
17	Labem
18	,
19	zaznamenala
20	největší
21	nárůst
22	sympatizujících
23	ČSSD
24	,
25	pro
26	kterou
27	by
28	nyní
29	hlasovalo
30	11
31	procent
32	voličů
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	ADV	2	advmod
2	vyplynulo	VERB	19	parataxis
3	z	ADP	5	case
4	dalších	ADJ	5	amod
5	výsledků	NOUN	2	obl:arg
6	ankety	NOUN	5	nmod
7	,	PUNCT	9	punct
8	kterou	DET	9	obj
9	uspořádal	VERB	6	acl:relcl
10	Sociálně	ADV	11	advmod
11	ekonomický	ADJ	12	amod
12	ústav	NOUN	9	nsubj
13	ČSAV	PROPN	12	nmod
14	v	ADP	15	case
15	Ústí	PROPN	12	nmod
16	nad	ADP	17	case
17	Labem	PROPN	15	nmod
18	,	PUNCT	2	punct
19	zaznamenala	VERB	0	root
20	největší	ADJ	21	amod
21	nárůst	NOUN	19	obj
22	sympatizujících	ADJ	21	amod
23	ČSSD	PROPN	19	nsubj
24	,	PUNCT	29	punct
25	pro	ADP	26	case
26	kterou	DET	29	obl:arg
27	by	AUX	29	aux
28	nyní	ADV	29	advmod
29	hlasovalo	VERB	23	acl:relcl
30	11	NUM	31	nummod:gov
31	procent	NOUN	29	nsubj
32	voličů	NOUN	31	nmod
33	.	PUNCT	19	punct