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:
To the north in Lebanon, there is serious debate within Hezbollah about entering the Lebanese political process in light of Syria's promised withdrawal.
Postion	Tokenization
1	To
2	the
3	north
4	in
5	Lebanon
6	,
7	there
8	is
9	serious
10	debate
11	within
12	Hezbollah
13	about
14	entering
15	the
16	Lebanese
17	political
18	process
19	in
20	light
21	of
22	Syria's
23	Syria
24	's
25	promised
26	withdrawal
27	.
Position	Tokenization	UPOS	Head	Deprel
1	To	ADP	3	case
2	the	DET	3	det
3	north	NOUN	8	obl
4	in	ADP	5	case
5	Lebanon	PROPN	8	obl
6	,	PUNCT	8	punct
7	there	PRON	8	expl
8	is	VERB	0	root
9	serious	ADJ	10	amod
10	debate	NOUN	8	nsubj
11	within	ADP	12	case
12	Hezbollah	PROPN	10	nmod
13	about	SCONJ	14	mark
14	entering	VERB	10	acl
15	the	DET	18	det
16	Lebanese	ADJ	18	amod
17	political	ADJ	18	amod
18	process	NOUN	14	obj
19	in	ADP	20	case
20	light	NOUN	14	obl
21	of	ADP	25	case
22	Syria's	_	None	_
23	Syria	PROPN	25	nmod:poss
24	's	PART	22	case
25	promised	VERB	25	amod
26	withdrawal	NOUN	20	nmod
27	.	PUNCT	8	punct