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: Poslanec FS Aleš Mucha (LSU) nevidí důvod, proč by stahoval svůj návrh kandidatury Jiřího Kotase na funkci prezidenta ČSFR, přestože se v minulých dnech LSU od kandidatury J. Kotase distancovala.
Position	Tokenization	UPOS	Head	Deprel
1	Poslanec	NOUN	8	nsubj
2	FS	PROPN	1	nmod
3	Aleš	PROPN	1	flat
4	Mucha	PROPN	1	flat
5	(	PUNCT	1	punct
6	LSU	PROPN	1	dep
7	)	PUNCT	1	punct
8	nevidí	VERB	0	root
9	důvod	NOUN	8	obj
10	,	PUNCT	13	punct
11	proč	ADV	13	advmod
12	by	AUX	13	aux
13	stahoval	VERB	9	acl:relcl
14	svůj	DET	15	det
15	návrh	NOUN	13	obj
16	kandidatury	NOUN	15	nmod
17	Jiřího	PROPN	16	nmod
18	Kotase	PROPN	17	flat
19	na	ADP	20	case
20	funkci	NOUN	16	nmod
21	prezidenta	NOUN	20	nmod
22	ČSFR	PROPN	21	nmod
23	,	PUNCT	35	punct
24	přestože	SCONJ	35	mark
25	se	PRON	35	expl:pv
26	v	ADP	28	case
27	minulých	ADJ	28	amod
28	dnech	NOUN	35	obl
29	LSU	PROPN	35	nsubj
30	od	ADP	31	case
31	kandidatury	NOUN	35	obl:arg
32	J	PROPN	31	nmod
33	.	PUNCT	32	punct
34	Kotase	PROPN	32	flat
35	distancovala	VERB	8	advcl
36	.	PUNCT	8	punct