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:
UN Secretary-General Kofi Annan has indicated it is time to "recognize Hezbollah" after easily being duped by "the message on the placards they are using".
Postion	Tokenization
1	UN
2	Secretary
3	-
4	General
5	Kofi
6	Annan
7	has
8	indicated
9	it
10	is
11	time
12	to
13	"
14	recognize
15	Hezbollah
16	"
17	after
18	easily
19	being
20	duped
21	by
22	"
23	the
24	message
25	on
26	the
27	placards
28	they
29	are
30	using
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	UN	PROPN	4	compound
2	Secretary	PROPN	4	compound
3	-	PUNCT	4	punct
4	General	PROPN	5	compound
5	Kofi	PROPN	8	nsubj
6	Annan	PROPN	5	flat
7	has	AUX	8	aux
8	indicated	VERB	0	root
9	it	PRON	11	expl
10	is	AUX	11	cop
11	time	NOUN	8	ccomp
12	to	PART	14	mark
13	"	PUNCT	14	punct
14	recognize	VERB	11	acl
15	Hezbollah	PROPN	14	obj
16	"	PUNCT	14	punct
17	after	SCONJ	20	mark
18	easily	ADV	20	advmod
19	being	AUX	20	aux:pass
20	duped	VERB	8	advcl
21	by	ADP	24	case
22	"	PUNCT	24	punct
23	the	DET	24	det
24	message	NOUN	20	obl
25	on	ADP	27	case
26	the	DET	27	det
27	placards	NOUN	24	nmod
28	they	PRON	30	nsubj
29	are	AUX	30	aux
30	using	VERB	27	acl:relcl
31	"	PUNCT	24	punct
32	.	PUNCT	8	punct