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:
S nadějemi, a to nejen v chaosem a těžkostmi postižené střední a východní Evropě, se zraky všech obracely k Evropskému společenství a jeho integračnímu procesu.
Postion	Tokenization
1	S
2	nadějemi
3	,
4	a
5	to
6	nejen
7	v
8	chaosem
9	a
10	těžkostmi
11	postižené
12	střední
13	a
14	východní
15	Evropě
16	,
17	se
18	zraky
19	všech
20	obracely
21	k
22	Evropskému
23	společenství
24	a
25	jeho
26	integračnímu
27	procesu
28	.
Position	Tokenization	UPOS	Head	Deprel
1	S	ADP	2	case
2	nadějemi	NOUN	20	obl
3	,	PUNCT	15	punct
4	a	CCONJ	15	cc
5	to	PART	4	fixed
6	nejen	PART	15	advmod:emph
7	v	ADP	15	case
8	chaosem	NOUN	11	obl
9	a	CCONJ	10	cc
10	těžkostmi	NOUN	8	conj
11	postižené	ADJ	15	amod
12	střední	ADJ	15	amod
13	a	CCONJ	14	cc
14	východní	ADJ	12	conj
15	Evropě	PROPN	20	obl
16	,	PUNCT	15	punct
17	se	PRON	20	expl:pv
18	zraky	NOUN	20	nsubj
19	všech	DET	18	amod
20	obracely	VERB	0	root
21	k	ADP	23	case
22	Evropskému	ADJ	23	amod
23	společenství	NOUN	20	obl:arg
24	a	CCONJ	27	cc
25	jeho	DET	27	det
26	integračnímu	ADJ	27	amod
27	procesu	NOUN	23	conj
28	.	PUNCT	20	punct