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: Do své smrti byl předsedou Rady ČSAV pro populárně vědeckou literaturu a sváděl (nepříliš úspěšně) boje s novináři, kterým je bližší (ačkoli nevím proč) medicína alternativní, homeopatie, senzibilové, léčitelství a nevím co ještě.
Position	Tokenization	UPOS	Head	Deprel
1	Do	ADP	3	case
2	své	DET	3	det
3	smrti	NOUN	5	obl
4	byl	AUX	5	cop
5	předsedou	NOUN	0	root
6	Rady	NOUN	5	nmod
7	ČSAV	PROPN	6	nmod
8	pro	ADP	11	case
9	populárně	ADV	10	advmod
10	vědeckou	ADJ	11	amod
11	literaturu	NOUN	6	nmod
12	a	CCONJ	13	cc
13	sváděl	VERB	5	conj
14	(	PUNCT	16	punct
15	nepříliš	ADV	16	advmod
16	úspěšně	ADV	13	advmod
17	)	PUNCT	16	punct
18	boje	NOUN	13	obj
19	s	ADP	20	case
20	novináři	NOUN	18	nmod
21	,	PUNCT	24	punct
22	kterým	DET	24	obl:arg
23	je	AUX	24	cop
24	bližší	ADJ	20	acl:relcl
25	(	PUNCT	27	punct
26	ačkoli	SCONJ	27	mark
27	nevím	VERB	24	advcl
28	proč	ADV	27	dep
29	)	PUNCT	27	punct
30	medicína	NOUN	24	nsubj
31	alternativní	ADJ	30	amod
32	,	PUNCT	33	punct
33	homeopatie	NOUN	30	conj
34	,	PUNCT	35	punct
35	senzibilové	NOUN	30	conj
36	,	PUNCT	37	punct
37	léčitelství	NOUN	30	conj
38	a	CCONJ	39	cc
39	nevím	VERB	30	conj
40	co	PRON	39	nsubj
41	ještě	ADV	40	advmod:emph
42	.	PUNCT	5	punct