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: Nestranní tlumočníci angažovaní IIHF překládali napřed z ruštiny do němčiny (Polák žijící v Německu Andreas Frysztacki) a posléze z němčiny do angličtiny (Rakušanka Johanna Mayová) a měli potíže nejenom s věcným obsahem, ale i s interpretací významu některých slov.
Position	Tokenization	UPOS	Head	Deprel
1	Nestranní	ADJ	2	amod
2	tlumočníci	NOUN	5	nsubj
3	angažovaní	ADJ	2	amod
4	IIHF	PROPN	3	obj
5	překládali	VERB	0	root
6	napřed	ADV	5	advmod
7	z	ADP	8	case
8	ruštiny	NOUN	5	obl
9	do	ADP	10	case
10	němčiny	NOUN	5	obl
11	(	PUNCT	5	punct
12	Polák	PROPN	5	dep
13	žijící	ADJ	12	amod
14	v	ADP	15	case
15	Německu	PROPN	13	obl
16	Andreas	PROPN	12	flat
17	Frysztacki	PROPN	12	flat
18	)	PUNCT	5	punct
19	_	_	None	_
20	a	CCONJ	20	cc
21	posléze	ADV	5	conj
22	z	ADP	22	case
23	němčiny	NOUN	20	orphan
24	do	ADP	24	case
25	angličtiny	NOUN	20	orphan
26	(	PUNCT	5	punct
27	Rakušanka	PROPN	5	dep
28	Johanna	PROPN	26	flat
29	Mayová	PROPN	26	flat
30	)	PUNCT	5	punct
31	a	CCONJ	31	cc
32	měli	VERB	5	conj
33	potíže	NOUN	31	obj
34	nejenom	ADV	36	cc
35	s	ADP	36	case
36	věcným	ADJ	36	amod
37	obsahem	NOUN	32	nmod
38	,	PUNCT	41	punct
39	ale	CCONJ	41	cc
40	i	CCONJ	41	cc
41	s	ADP	41	case
42	interpretací	NOUN	36	conj
43	významu	NOUN	41	nmod
44	některých	DET	44	det
45	slov	NOUN	42	nmod
46	.	PUNCT	5	punct