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:
Some 200,000 guns the US sent to Iraqi security forces may have been smuggled to terrorists, it was feared yesterday.
Postion	Tokenization
1	Some
2	200,000
3	guns
4	the
5	US
6	sent
7	to
8	Iraqi
9	security
10	forces
11	may
12	have
13	been
14	smuggled
15	to
16	terrorists
17	,
18	it
19	was
20	feared
21	yesterday
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Some	DET	3	det
2	200,000	NUM	3	nummod
3	guns	NOUN	14	nsubj:pass
4	the	DET	5	det
5	US	PROPN	6	nsubj
6	sent	VERB	3	acl:relcl
7	to	ADP	10	case
8	Iraqi	ADJ	10	amod
9	security	NOUN	10	compound
10	forces	NOUN	6	obl
11	may	AUX	14	aux
12	have	AUX	14	aux
13	been	AUX	14	aux:pass
14	smuggled	VERB	20	advcl
15	to	ADP	16	case
16	terrorists	NOUN	14	obl
17	,	PUNCT	20	punct
18	it	PRON	20	nsubj:pass
19	was	AUX	20	aux:pass
20	feared	VERB	0	root
21	yesterday	NOUN	20	obl:tmod
22	.	PUNCT	20	punct