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:
Some may still think that even in the final stages of the 9/11 plot, Zacarias Moussaoui was going to fly a 5th plane into the Capitol or White House.
Postion	Tokenization
1	Some
2	may
3	still
4	think
5	that
6	even
7	in
8	the
9	final
10	stages
11	of
12	the
13	9/11
14	plot
15	,
16	Zacarias
17	Moussaoui
18	was
19	going
20	to
21	fly
22	a
23	5th
24	plane
25	into
26	the
27	Capitol
28	or
29	White
30	House
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Some	DET	4	nsubj
2	may	AUX	4	aux
3	still	ADV	4	advmod
4	think	VERB	0	root
5	that	SCONJ	19	mark
6	even	ADV	10	advmod
7	in	ADP	10	case
8	the	DET	10	det
9	final	ADJ	10	amod
10	stages	NOUN	19	obl
11	of	ADP	14	case
12	the	DET	14	det
13	9/11	NUM	14	nummod
14	plot	NOUN	10	nmod
15	,	PUNCT	19	punct
16	Zacarias	PROPN	19	nsubj
17	Moussaoui	PROPN	16	flat
18	was	AUX	19	aux
19	going	VERB	4	ccomp
20	to	PART	21	mark
21	fly	VERB	19	xcomp
22	a	DET	24	det
23	5th	ADJ	24	amod
24	plane	NOUN	21	obj
25	into	ADP	27	case
26	the	DET	27	det
27	Capitol	PROPN	21	obl
28	or	CCONJ	30	cc
29	White	PROPN	30	compound
30	House	PROPN	27	conj
31	.	PUNCT	4	punct