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:
Proti schválené trase jsou zejména obyvatelé Černic a Bručné, jejichž stanovisko podpořilo už při veřejně správním projednávání obchvatu jak zastupitelstvo města Plzně, tak Úřad městského obvodu Plzeň 2.
Postion	Tokenization
1	Proti
2	schválené
3	trase
4	jsou
5	zejména
6	obyvatelé
7	Černic
8	a
9	Bručné
10	,
11	jejichž
12	stanovisko
13	podpořilo
14	už
15	při
16	veřejně
17	správním
18	projednávání
19	obchvatu
20	jak
21	zastupitelstvo
22	města
23	Plzně
24	,
25	tak
26	Úřad
27	městského
28	obvodu
29	Plzeň
30	2
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Proti	ADP	3	case
2	schválené	ADJ	3	amod
3	trase	NOUN	4	obl
4	jsou	VERB	0	root
5	zejména	ADV	6	advmod:emph
6	obyvatelé	NOUN	4	nsubj
7	Černic	PROPN	6	nmod
8	a	CCONJ	9	cc
9	Bručné	PROPN	7	conj
10	,	PUNCT	13	punct
11	jejichž	DET	12	det
12	stanovisko	NOUN	13	obj
13	podpořilo	VERB	6	acl:relcl
14	už	ADV	18	advmod:emph
15	při	ADP	18	case
16	veřejně	ADV	17	advmod
17	správním	ADJ	18	amod
18	projednávání	NOUN	13	obl
19	obchvatu	NOUN	18	nmod
20	jak	ADV	21	cc
21	zastupitelstvo	NOUN	13	nsubj
22	města	NOUN	21	nmod
23	Plzně	PROPN	22	nmod
24	,	PUNCT	26	punct
25	tak	ADV	26	cc
26	Úřad	NOUN	21	conj
27	městského	ADJ	28	amod
28	obvodu	NOUN	26	nmod
29	Plzeň	PROPN	28	nmod
30	2	NUM	29	nummod
31	.	PUNCT	4	punct