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:
Obvyklé předjarní "přetahování" okolo mzdových tarifů jim totiž poněkud přerostlo přes hlavu - od včerejška stávkuje největší odborový svaz Německa, strojírensko-elektrotechnický IG Metall.
Postion	Tokenization
1	Obvyklé
2	předjarní
3	"
4	přetahování
5	"
6	okolo
7	mzdových
8	tarifů
9	jim
10	totiž
11	poněkud
12	přerostlo
13	přes
14	hlavu
15	-
16	od
17	včerejška
18	stávkuje
19	největší
20	odborový
21	svaz
22	Německa
23	,
24	strojírensko
25	-
26	elektrotechnický
27	IG
28	Metall
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Obvyklé	ADJ	4	amod
2	předjarní	ADJ	4	amod
3	"	PUNCT	4	punct
4	přetahování	NOUN	12	nsubj
5	"	PUNCT	4	punct
6	okolo	ADP	8	case
7	mzdových	ADJ	8	amod
8	tarifů	NOUN	4	nmod
9	jim	PRON	12	obl
10	totiž	ADV	12	advmod
11	poněkud	ADV	12	advmod
12	přerostlo	VERB	0	root
13	přes	ADP	14	case
14	hlavu	NOUN	12	obl
15	-	PUNCT	18	punct
16	od	ADP	17	case
17	včerejška	NOUN	18	obl
18	stávkuje	VERB	12	conj
19	největší	ADJ	21	amod
20	odborový	ADJ	21	amod
21	svaz	NOUN	18	nsubj
22	Německa	PROPN	21	nmod
23	,	PUNCT	27	punct
24	strojírensko	ADJ	27	amod
25	-	PUNCT	26	punct
26	elektrotechnický	ADJ	24	conj
27	IG	ADJ	21	appos
28	Metall	PROPN	27	nmod
29	.	PUNCT	12	punct