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:
Most people haven't gone to work the last few days, although it seems that the rest of Baghdad is 'normal' (if you can define what normal is).
Postion	Tokenization
1	Most
2	people
3	haven't
4	have
5	n't
6	gone
7	to
8	work
9	the
10	last
11	few
12	days
13	,
14	although
15	it
16	seems
17	that
18	the
19	rest
20	of
21	Baghdad
22	is
23	'
24	normal
25	'
26	(
27	if
28	you
29	can
30	define
31	what
32	normal
33	is
34	)
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Most	ADJ	2	amod
2	people	NOUN	5	nsubj
3	haven't	_	None	_
4	have	AUX	5	aux
5	n't	PART	5	advmod
6	gone	VERB	0	root
7	to	ADP	7	case
8	work	NOUN	5	obl
9	the	DET	11	det
10	last	ADJ	11	amod
11	few	ADJ	11	amod
12	days	NOUN	5	obl:tmod
13	,	PUNCT	5	punct
14	although	SCONJ	15	mark
15	it	PRON	15	expl
16	seems	VERB	5	advcl
17	that	SCONJ	23	mark
18	the	DET	18	det
19	rest	NOUN	23	nsubj
20	of	ADP	20	case
21	Baghdad	PROPN	18	nmod
22	is	AUX	23	cop
23	'	PUNCT	23	punct
24	normal	ADJ	15	ccomp
25	'	PUNCT	23	punct
26	(	PUNCT	29	punct
27	if	SCONJ	29	mark
28	you	PRON	29	nsubj
29	can	AUX	29	aux
30	define	VERB	23	advcl
31	what	PRON	29	obj
32	normal	NOUN	32	nsubj
33	is	VERB	30	acl:relcl
34	)	PUNCT	29	punct
35	.	PUNCT	5	punct