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:
Just because Al Qaeda likes its truck bombs and the like to be effective does not mean they do not see the value in a deadly missive.
Postion	Tokenization
1	Just
2	because
3	Al
4	Qaeda
5	likes
6	its
7	truck
8	bombs
9	and
10	the
11	like
12	to
13	be
14	effective
15	does
16	not
17	mean
18	they
19	do
20	not
21	see
22	the
23	value
24	in
25	a
26	deadly
27	missive
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Just	ADV	5	advmod
2	because	SCONJ	5	mark
3	Al	PROPN	4	compound
4	Qaeda	PROPN	5	nsubj
5	likes	VERB	17	advcl
6	its	PRON	8	nmod:poss
7	truck	NOUN	8	compound
8	bombs	NOUN	5	obj
9	and	CCONJ	11	cc
10	the	DET	11	det
11	like	ADJ	8	conj
12	to	PART	14	mark
13	be	AUX	14	cop
14	effective	ADJ	5	xcomp
15	does	AUX	17	aux
16	not	PART	17	advmod
17	mean	VERB	0	root
18	they	PRON	21	nsubj
19	do	AUX	21	aux
20	not	PART	21	advmod
21	see	VERB	17	ccomp
22	the	DET	23	det
23	value	NOUN	21	obj
24	in	ADP	27	case
25	a	DET	27	det
26	deadly	ADJ	27	amod
27	missive	NOUN	23	nmod
28	.	PUNCT	17	punct