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:
Newsweek reported that a "second wave" involving biological attacks had been thwarted upon the arrest of Al Qaeda members who had been intended to provide logistical support.
Postion	Tokenization
1	Newsweek
2	reported
3	that
4	a
5	"
6	second
7	wave
8	"
9	involving
10	biological
11	attacks
12	had
13	been
14	thwarted
15	upon
16	the
17	arrest
18	of
19	Al
20	Qaeda
21	members
22	who
23	had
24	been
25	intended
26	to
27	provide
28	logistical
29	support
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Newsweek	PROPN	2	nsubj
2	reported	VERB	0	root
3	that	SCONJ	14	mark
4	a	DET	7	det
5	"	PUNCT	7	punct
6	second	ADJ	7	amod
7	wave	NOUN	14	nsubj:pass
8	"	PUNCT	7	punct
9	involving	VERB	7	acl
10	biological	ADJ	11	amod
11	attacks	NOUN	9	obj
12	had	AUX	14	aux
13	been	AUX	14	aux:pass
14	thwarted	VERB	2	ccomp
15	upon	ADP	17	case
16	the	DET	17	det
17	arrest	NOUN	14	obl
18	of	ADP	21	case
19	Al	PROPN	20	compound
20	Qaeda	PROPN	21	compound
21	members	NOUN	17	nmod
22	who	PRON	25	nsubj:pass
23	had	AUX	25	aux
24	been	AUX	25	aux:pass
25	intended	VERB	21	acl:relcl
26	to	PART	27	mark
27	provide	VERB	25	xcomp
28	logistical	ADJ	29	amod
29	support	NOUN	27	obj
30	.	PUNCT	2	punct