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: Tehdy podruhé kandidoval F. D. Roosevelt a průzkumy organizované tiskem (Readers Digest např. uspořádal anketu mezi svými předplatiteli, jiný list se ptal návštěvníků u brány světové výstavy v New Yorku - v obou případech shromáždili pořadatelé průzkumu hodně přes deset tisíc odpovědí) vycházely pro Roosevelta hodně nepříznivě.
Position	Tokenization	UPOS	Head	Deprel
1	Tehdy	ADV	3	advmod
2	podruhé	ADV	3	obl
3	kandidoval	VERB	0	root
4	F	PROPN	3	nsubj
5	.	PUNCT	4	punct
6	D	PROPN	4	flat
7	.	PUNCT	6	punct
8	Roosevelt	PROPN	4	flat
9	a	CCONJ	49	cc
10	průzkumy	NOUN	49	nsubj
11	organizované	ADJ	10	amod
12	tiskem	NOUN	11	obl:arg
13	(	PUNCT	18	punct
14	Readers	ADJ	18	nsubj
15	Digest	PROPN	14	flat:foreign
16	např	ADV	18	advmod:emph
17	.	PUNCT	16	punct
18	uspořádal	VERB	10	parataxis
19	anketu	NOUN	18	obj
20	mezi	ADP	22	case
21	svými	DET	22	det
22	předplatiteli	NOUN	18	obl
23	,	PUNCT	27	punct
24	jiný	ADJ	25	amod
25	list	NOUN	27	nsubj
26	se	PRON	27	expl:pv
27	ptal	VERB	18	conj
28	návštěvníků	NOUN	27	obl:arg
29	u	ADP	30	case
30	brány	NOUN	28	nmod
31	světové	ADJ	32	amod
32	výstavy	NOUN	30	nmod
33	v	ADP	35	case
34	New	ADJ	35	amod
35	Yorku	PROPN	32	nmod
36	-	PUNCT	40	punct
37	v	ADP	39	case
38	obou	NUM	39	nummod
39	případech	NOUN	40	obl
40	shromáždili	VERB	18	conj
41	pořadatelé	NOUN	40	nsubj
42	průzkumu	NOUN	41	nmod
43	hodně	ADV	40	obj
44	přes	ADP	47	case
45	deset	NUM	47	nummod:gov
46	tisíc	NUM	47	nummod:gov
47	odpovědí	NOUN	43	nmod
48	)	PUNCT	18	punct
49	vycházely	VERB	3	conj
50	pro	ADP	51	case
51	Roosevelta	PROPN	53	obl
52	hodně	ADV	53	advmod
53	nepříznivě	ADV	49	advmod
54	.	PUNCT	3	punct