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:
There still is a very hot pursuit of the "Atta-level" Floridian, Adnan El Shukrijumah, who Siddiqui is thought to have known and been assisting.
Postion	Tokenization
1	There
2	still
3	is
4	a
5	very
6	hot
7	pursuit
8	of
9	the
10	"
11	Atta
12	-
13	level
14	"
15	Floridian
16	,
17	Adnan
18	El
19	Shukrijumah
20	,
21	who
22	Siddiqui
23	is
24	thought
25	to
26	have
27	known
28	and
29	been
30	assisting
31	.
Position	Tokenization	UPOS	Head	Deprel
1	There	PRON	3	expl
2	still	ADV	3	advmod
3	is	VERB	0	root
4	a	DET	7	det
5	very	ADV	6	advmod
6	hot	ADJ	7	amod
7	pursuit	NOUN	3	nsubj
8	of	ADP	15	case
9	the	DET	15	det
10	"	PUNCT	13	punct
11	Atta	PROPN	13	compound
12	-	PUNCT	13	punct
13	level	NOUN	15	compound
14	"	PUNCT	13	punct
15	Floridian	PROPN	7	nmod
16	,	PUNCT	15	punct
17	Adnan	PROPN	15	appos
18	El	PROPN	17	flat
19	Shukrijumah	PROPN	17	flat
20	,	PUNCT	15	punct
21	who	PRON	24	obj
22	Siddiqui	PROPN	24	nsubj:pass
23	is	AUX	24	aux:pass
24	thought	VERB	15	acl:relcl
25	to	PART	27	mark
26	have	AUX	27	aux
27	known	VERB	24	xcomp
28	and	CCONJ	30	cc
29	been	AUX	30	aux
30	assisting	VERB	27	conj
31	.	PUNCT	3	punct