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:
Angry crowds chanted anti-American slogans in the western city of Falluja (pop. 256,000) as the security police killed in a friendly fire incident by US troops were buried on Saturday.
Postion	Tokenization
1	Angry
2	crowds
3	chanted
4	anti-American
5	slogans
6	in
7	the
8	western
9	city
10	of
11	Falluja
12	(
13	pop.
14	256,000
15	)
16	as
17	the
18	security
19	police
20	killed
21	in
22	a
23	friendly
24	fire
25	incident
26	by
27	US
28	troops
29	were
30	buried
31	on
32	Saturday
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Angry	ADJ	2	amod
2	crowds	NOUN	3	nsubj
3	chanted	VERB	0	root
4	anti-American	ADJ	5	amod
5	slogans	NOUN	3	obj
6	in	ADP	9	case
7	the	DET	9	det
8	western	ADJ	9	amod
9	city	NOUN	3	obl
10	of	ADP	11	case
11	Falluja	PROPN	9	nmod
12	(	PUNCT	13	punct
13	pop.	NOUN	11	appos
14	256,000	NUM	13	appos
15	)	PUNCT	13	punct
16	as	SCONJ	30	mark
17	the	DET	19	det
18	security	NOUN	19	compound
19	police	NOUN	30	nsubj:pass
20	killed	VERB	19	acl
21	in	ADP	25	case
22	a	DET	25	det
23	friendly	ADJ	24	amod
24	fire	NOUN	25	compound
25	incident	NOUN	20	obl
26	by	ADP	28	case
27	US	PROPN	28	compound
28	troops	NOUN	20	obl
29	were	AUX	30	aux
30	buried	VERB	3	advcl
31	on	ADP	32	case
32	Saturday	PROPN	30	obl
33	.	PUNCT	3	punct