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:
The same week, the WTC head testified that while they had not received any briefing on the use of planes, they had taken steps to prepare for an attack using anthrax based on intelligence that had been received.
Postion	Tokenization
1	The
2	same
3	week
4	,
5	the
6	WTC
7	head
8	testified
9	that
10	while
11	they
12	had
13	not
14	received
15	any
16	briefing
17	on
18	the
19	use
20	of
21	planes
22	,
23	they
24	had
25	taken
26	steps
27	to
28	prepare
29	for
30	an
31	attack
32	using
33	anthrax
34	based
35	on
36	intelligence
37	that
38	had
39	been
40	received
41	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	same	ADJ	3	amod
3	week	NOUN	8	obl:tmod
4	,	PUNCT	8	punct
5	the	DET	7	det
6	WTC	PROPN	7	compound
7	head	NOUN	8	nsubj
8	testified	VERB	0	root
9	that	SCONJ	25	mark
10	while	SCONJ	14	mark
11	they	PRON	14	nsubj
12	had	AUX	14	aux
13	not	PART	14	advmod
14	received	VERB	25	advcl
15	any	DET	16	det
16	briefing	NOUN	14	obj
17	on	ADP	19	case
18	the	DET	19	det
19	use	NOUN	16	nmod
20	of	ADP	21	case
21	planes	NOUN	19	nmod
22	,	PUNCT	25	punct
23	they	PRON	25	nsubj
24	had	AUX	25	aux
25	taken	VERB	8	ccomp
26	steps	NOUN	25	obj
27	to	PART	28	mark
28	prepare	VERB	26	acl
29	for	ADP	31	case
30	an	DET	31	det
31	attack	NOUN	28	obl
32	using	VERB	31	acl
33	anthrax	NOUN	32	obj
34	based	VERB	36	case
35	on	ADP	36	case
36	intelligence	NOUN	8	obl
37	that	PRON	40	nsubj:pass
38	had	AUX	40	aux
39	been	AUX	40	aux:pass
40	received	VERB	36	acl:relcl
41	.	PUNCT	8	punct