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:
(Kut is in southeastern Iraq and has an overwhelmingly Shiite population, who are on the lookout for Baathist saboteurs and willingly turn them in.
Postion	Tokenization
1	(
2	Kut
3	is
4	in
5	southeastern
6	Iraq
7	and
8	has
9	an
10	overwhelmingly
11	Shiite
12	population
13	,
14	who
15	are
16	on
17	the
18	lookout
19	for
20	Baathist
21	saboteurs
22	and
23	willingly
24	turn
25	them
26	in
27	.
Position	Tokenization	UPOS	Head	Deprel
1	(	PUNCT	6	punct
2	Kut	PROPN	6	nsubj
3	is	AUX	6	cop
4	in	ADP	6	case
5	southeastern	ADJ	6	amod
6	Iraq	PROPN	0	root
7	and	CCONJ	8	cc
8	has	VERB	6	conj
9	an	DET	12	det
10	overwhelmingly	ADV	11	advmod
11	Shiite	ADJ	12	amod
12	population	NOUN	8	obj
13	,	PUNCT	12	punct
14	who	PRON	18	nsubj
15	are	AUX	18	cop
16	on	ADP	18	case
17	the	DET	18	det
18	lookout	NOUN	12	acl:relcl
19	for	ADP	21	case
20	Baathist	PROPN	21	compound
21	saboteurs	NOUN	18	nmod
22	and	CCONJ	24	cc
23	willingly	ADV	24	advmod
24	turn	VERB	18	conj
25	them	PRON	24	obj
26	in	ADP	24	compound:prt
27	.	PUNCT	6	punct