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:
Let aggressive (American) leaders and soldiers know that we are capable of protecting the city's security and safety, and ask them to lift their hands from the city."
Postion	Tokenization
1	Let
2	aggressive
3	(
4	American
5	)
6	leaders
7	and
8	soldiers
9	know
10	that
11	we
12	are
13	capable
14	of
15	protecting
16	the
17	city's
18	city
19	's
20	security
21	and
22	safety
23	,
24	and
25	ask
26	them
27	to
28	lift
29	their
30	hands
31	from
32	the
33	city
34	.
35	"
Position	Tokenization	UPOS	Head	Deprel
1	Let	VERB	0	root
2	aggressive	ADJ	6	amod
3	(	PUNCT	4	punct
4	American	ADJ	6	amod
5	)	PUNCT	4	punct
6	leaders	NOUN	1	obj
7	and	CCONJ	8	cc
8	soldiers	NOUN	6	conj
9	know	VERB	1	xcomp
10	that	SCONJ	13	mark
11	we	PRON	13	nsubj
12	are	AUX	13	cop
13	capable	ADJ	9	ccomp
14	of	SCONJ	15	mark
15	protecting	VERB	13	advcl
16	the	DET	17	det
17	city's	_	None	_
18	city	NOUN	19	nmod:poss
19	's	PART	17	case
20	security	NOUN	15	obj
21	and	CCONJ	21	cc
22	safety	NOUN	19	conj
23	,	PUNCT	24	punct
24	and	CCONJ	24	cc
25	ask	VERB	13	conj
26	them	PRON	24	iobj
27	to	PART	27	mark
28	lift	VERB	24	xcomp
29	their	PRON	29	nmod:poss
30	hands	NOUN	27	obj
31	from	ADP	32	case
32	the	DET	32	det
33	city	NOUN	27	obl
34	.	PUNCT	1	punct
35	"	PUNCT	1	punct