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:
Cestou newyorského právníka Alaina Coblence, který se v České republice uvedl pokusem získat Stavovské divadlo, nechce jít Akademie Dobříš také při veřejné koncertní činnosti.
Postion	Tokenization
1	Cestou
2	newyorského
3	právníka
4	Alaina
5	Coblence
6	,
7	který
8	se
9	v
10	České
11	republice
12	uvedl
13	pokusem
14	získat
15	Stavovské
16	divadlo
17	,
18	nechce
19	jít
20	Akademie
21	Dobříš
22	také
23	při
24	veřejné
25	koncertní
26	činnosti
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Cestou	NOUN	19	obl
2	newyorského	ADJ	3	amod
3	právníka	NOUN	1	nmod
4	Alaina	PROPN	3	flat
5	Coblence	PROPN	3	flat
6	,	PUNCT	12	punct
7	který	DET	12	nsubj
8	se	PRON	12	expl:pv
9	v	ADP	11	case
10	České	ADJ	11	amod
11	republice	NOUN	12	obl
12	uvedl	VERB	3	acl:relcl
13	pokusem	NOUN	12	obl
14	získat	VERB	13	acl
15	Stavovské	ADJ	16	amod
16	divadlo	NOUN	14	obj
17	,	PUNCT	12	punct
18	nechce	VERB	0	root
19	jít	VERB	18	xcomp
20	Akademie	NOUN	18	nsubj
21	Dobříš	PROPN	20	nmod
22	také	ADV	19	advmod
23	při	ADP	26	case
24	veřejné	ADJ	26	amod
25	koncertní	ADJ	26	amod
26	činnosti	NOUN	19	obl
27	.	PUNCT	18	punct