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:
Hosté amerického velvyslance v Praze Adriana Basory (paní Albrightová mu pomáhala jako poradkyně během jeho univerzitní stáže při práci na politické problematice střední a východní Evropy) pomalu vstávají od stolu a loučí se.
Postion	Tokenization
1	Hosté
2	amerického
3	velvyslance
4	v
5	Praze
6	Adriana
7	Basory
8	(
9	paní
10	Albrightová
11	mu
12	pomáhala
13	jako
14	poradkyně
15	během
16	jeho
17	univerzitní
18	stáže
19	při
20	práci
21	na
22	politické
23	problematice
24	střední
25	a
26	východní
27	Evropy
28	)
29	pomalu
30	vstávají
31	od
32	stolu
33	a
34	loučí
35	se
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Hosté	NOUN	30	nsubj
2	amerického	ADJ	3	amod
3	velvyslance	NOUN	1	nmod
4	v	ADP	5	case
5	Praze	PROPN	3	nmod
6	Adriana	PROPN	3	flat
7	Basory	PROPN	3	flat
8	(	PUNCT	12	punct
9	paní	NOUN	12	nsubj
10	Albrightová	PROPN	9	flat
11	mu	PRON	12	obl:arg
12	pomáhala	VERB	3	parataxis
13	jako	SCONJ	14	mark
14	poradkyně	NOUN	9	xcomp
15	během	ADP	18	case
16	jeho	DET	18	det
17	univerzitní	ADJ	18	amod
18	stáže	NOUN	12	obl
19	při	ADP	20	case
20	práci	NOUN	12	obl
21	na	ADP	23	case
22	politické	ADJ	23	amod
23	problematice	NOUN	20	nmod
24	střední	ADJ	27	amod
25	a	CCONJ	26	cc
26	východní	ADJ	24	conj
27	Evropy	PROPN	23	nmod
28	)	PUNCT	12	punct
29	pomalu	ADV	30	advmod
30	vstávají	VERB	0	root
31	od	ADP	32	case
32	stolu	NOUN	30	obl
33	a	CCONJ	34	cc
34	loučí	VERB	30	conj
35	se	PRON	34	expl:pv
36	.	PUNCT	30	punct