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:
Who could stop a suicide murder in the midst of the crowded line waiting to be checked by the airport metal detector?
Postion	Tokenization
1	Who
2	could
3	stop
4	a
5	suicide
6	murder
7	in
8	the
9	midst
10	of
11	the
12	crowded
13	line
14	waiting
15	to
16	be
17	checked
18	by
19	the
20	airport
21	metal
22	detector
23	?
Position	Tokenization	UPOS	Head	Deprel
1	Who	PRON	3	nsubj
2	could	AUX	3	aux
3	stop	VERB	0	root
4	a	DET	6	det
5	suicide	NOUN	6	compound
6	murder	NOUN	3	obj
7	in	ADP	9	case
8	the	DET	9	det
9	midst	NOUN	6	nmod
10	of	ADP	13	case
11	the	DET	13	det
12	crowded	ADJ	13	amod
13	line	NOUN	9	nmod
14	waiting	VERB	13	acl
15	to	PART	17	mark
16	be	AUX	17	aux:pass
17	checked	VERB	14	advcl
18	by	ADP	22	case
19	the	DET	22	det
20	airport	NOUN	22	compound
21	metal	NOUN	22	compound
22	detector	NOUN	17	obl
23	?	PUNCT	3	punct