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 tokenized text:
Specialisté z evropské marketingové kanceláře TWOS COMPANY z Nizozemí, kteří krnovskou firmu již dva roky sledovali, navrhli spolupráci s německým výrobcem nábytku.
Postion	Tokenization
1	Specialisté
2	z
3	evropské
4	marketingové
5	kanceláře
6	TWOS
7	COMPANY
8	z
9	Nizozemí
10	,
11	kteří
12	krnovskou
13	firmu
14	již
15	dva
16	roky
17	sledovali
18	,
19	navrhli
20	spolupráci
21	s
22	německým
23	výrobcem
24	nábytku
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Specialisté	NOUN	19	nsubj
2	z	ADP	5	case
3	evropské	ADJ	5	amod
4	marketingové	ADJ	5	amod
5	kanceláře	NOUN	1	nmod
6	TWOS	ADJ	5	nmod
7	COMPANY	PROPN	6	flat:foreign
8	z	ADP	9	case
9	Nizozemí	PROPN	6	nmod
10	,	PUNCT	17	punct
11	kteří	DET	17	nsubj
12	krnovskou	ADJ	13	amod
13	firmu	NOUN	17	obj
14	již	ADV	16	advmod:emph
15	dva	NUM	16	nummod
16	roky	NOUN	17	obl
17	sledovali	VERB	1	acl:relcl
18	,	PUNCT	17	punct
19	navrhli	VERB	0	root
20	spolupráci	NOUN	19	obj
21	s	ADP	23	case
22	německým	ADJ	23	amod
23	výrobcem	NOUN	20	nmod
24	nábytku	NOUN	23	nmod
25	.	PUNCT	19	punct