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: Emocionálně a filozoficky zaměření komentátoři na obou březích Rýna takovou úvahu doprovázejí aktuálním "vysvětlením", že Francouzi prý dostali strach ze sjednoceného Německa, odkud se navíc objevují právě před referendem na titulních stránkách novin a v popředí televizního zpravodajství zprávy o řádění neonacistů.
Position	Tokenization	UPOS	Head	Deprel
1	Emocionálně	ADV	4	advmod
2	a	CCONJ	3	cc
3	filozoficky	ADV	1	conj
4	zaměření	ADJ	5	amod
5	komentátoři	NOUN	12	nsubj
6	na	ADP	8	case
7	obou	NUM	8	nummod
8	březích	NOUN	5	nmod
9	Rýna	PROPN	8	nmod
10	takovou	DET	11	det
11	úvahu	NOUN	12	obj
12	doprovázejí	VERB	0	root
13	aktuálním	ADJ	15	amod
14	"	PUNCT	15	punct
15	vysvětlením	NOUN	12	obl:arg
16	"	PUNCT	15	punct
17	,	PUNCT	21	punct
18	že	SCONJ	21	mark
19	Francouzi	PROPN	21	nsubj
20	prý	PART	21	advmod
21	dostali	VERB	15	acl
22	strach	NOUN	21	obj
23	ze	ADP	25	case
24	sjednoceného	ADJ	25	amod
25	Německa	PROPN	22	nmod
26	,	PUNCT	30	punct
27	odkud	ADV	30	advmod
28	se	PRON	30	expl:pv
29	navíc	ADV	30	advmod
30	objevují	VERB	25	acl:relcl
31	právě	ADV	33	advmod:emph
32	před	ADP	33	case
33	referendem	NOUN	30	obl
34	na	ADP	36	case
35	titulních	ADJ	36	amod
36	stránkách	NOUN	30	obl
37	novin	NOUN	36	nmod
38	a	CCONJ	40	cc
39	v	ADP	40	case
40	popředí	NOUN	36	conj
41	televizního	ADJ	42	amod
42	zpravodajství	NOUN	40	nmod
43	zprávy	NOUN	30	nsubj
44	o	ADP	45	case
45	řádění	NOUN	43	nmod
46	neonacistů	NOUN	45	nmod
47	.	PUNCT	12	punct