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:
Rezidenti v USA ihned vytvořili spojení, kterým mohl z tak usilovně střežené oblasti, kde probíhal projekt Manhattan, systematicky posílat své informace.
Postion	Tokenization
1	Rezidenti
2	v
3	USA
4	ihned
5	vytvořili
6	spojení
7	,
8	kterým
9	mohl
10	z
11	tak
12	usilovně
13	střežené
14	oblasti
15	,
16	kde
17	probíhal
18	projekt
19	Manhattan
20	,
21	systematicky
22	posílat
23	své
24	informace
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Rezidenti	NOUN	5	nsubj
2	v	ADP	3	case
3	USA	PROPN	1	nmod
4	ihned	ADV	5	advmod
5	vytvořili	VERB	0	root
6	spojení	NOUN	5	obj
7	,	PUNCT	9	punct
8	kterým	DET	22	obl
9	mohl	VERB	6	acl:relcl
10	z	ADP	14	case
11	tak	ADV	12	advmod
12	usilovně	ADV	13	advmod
13	střežené	ADJ	14	amod
14	oblasti	NOUN	9	obl
15	,	PUNCT	17	punct
16	kde	ADV	17	advmod
17	probíhal	VERB	14	acl:relcl
18	projekt	NOUN	17	nsubj
19	Manhattan	PROPN	18	nmod
20	,	PUNCT	17	punct
21	systematicky	ADV	22	advmod
22	posílat	VERB	9	xcomp
23	své	DET	24	det
24	informace	NOUN	22	obj
25	.	PUNCT	5	punct