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:
Včera ráno zahájilo v Bavorsku stávku zhruba 11000 pracovníků kovoprůmyslu a elektroprůmyslu, kteří chtějí prosadit požadavek zvýšení mezd o šest procent pro téměř 3.5 miliónu německých kováků.
Postion	Tokenization
1	Včera
2	ráno
3	zahájilo
4	v
5	Bavorsku
6	stávku
7	zhruba
8	11000
9	pracovníků
10	kovoprůmyslu
11	a
12	elektroprůmyslu
13	,
14	kteří
15	chtějí
16	prosadit
17	požadavek
18	zvýšení
19	mezd
20	o
21	šest
22	procent
23	pro
24	téměř
25	3.5
26	miliónu
27	německých
28	kováků
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Včera	ADV	3	advmod
2	ráno	ADV	3	advmod
3	zahájilo	VERB	0	root
4	v	ADP	5	case
5	Bavorsku	PROPN	3	obl
6	stávku	NOUN	3	obj
7	zhruba	ADV	8	advmod:emph
8	11000	NUM	9	nummod:gov
9	pracovníků	NOUN	3	nsubj
10	kovoprůmyslu	NOUN	9	nmod
11	a	CCONJ	12	cc
12	elektroprůmyslu	NOUN	10	conj
13	,	PUNCT	15	punct
14	kteří	DET	15	nsubj
15	chtějí	VERB	9	acl:relcl
16	prosadit	VERB	15	xcomp
17	požadavek	NOUN	16	obj
18	zvýšení	NOUN	17	nmod
19	mezd	NOUN	18	nmod
20	o	ADP	22	case
21	šest	NUM	22	nummod:gov
22	procent	NOUN	18	nmod
23	pro	ADP	26	case
24	téměř	ADV	25	advmod:emph
25	3.5	NUM	26	nummod:gov
26	miliónu	NOUN	18	nmod
27	německých	ADJ	28	amod
28	kováků	NOUN	26	nmod
29	.	PUNCT	3	punct