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:
His military intelligence has captured major figures like Abu Zubayda and Khalid Shaykh Muhammad, as well as nearly 500 other al-Qaeda operatives, over 400 of whom the Pakistanis have turned over to the US.
Postion	Tokenization
1	His
2	military
3	intelligence
4	has
5	captured
6	major
7	figures
8	like
9	Abu
10	Zubayda
11	and
12	Khalid
13	Shaykh
14	Muhammad
15	,
16	as
17	well
18	as
19	nearly
20	500
21	other
22	al
23	-
24	Qaeda
25	operatives
26	,
27	over
28	400
29	of
30	whom
31	the
32	Pakistanis
33	have
34	turned
35	over
36	to
37	the
38	US
39	.
Position	Tokenization	UPOS	Head	Deprel
1	His	PRON	3	nmod:poss
2	military	ADJ	3	amod
3	intelligence	NOUN	5	nsubj
4	has	AUX	5	aux
5	captured	VERB	0	root
6	major	ADJ	7	amod
7	figures	NOUN	5	obj
8	like	ADP	9	case
9	Abu	PROPN	7	nmod
10	Zubayda	PROPN	9	flat
11	and	CCONJ	12	cc
12	Khalid	PROPN	9	conj
13	Shaykh	PROPN	12	flat
14	Muhammad	PROPN	12	flat
15	,	PUNCT	25	punct
16	as	ADV	25	cc
17	well	ADV	16	fixed
18	as	ADP	16	fixed
19	nearly	ADV	20	advmod
20	500	NUM	25	nummod
21	other	ADJ	25	amod
22	al	PROPN	24	compound
23	-	PUNCT	24	punct
24	Qaeda	PROPN	25	compound
25	operatives	NOUN	9	conj
26	,	PUNCT	25	punct
27	over	ADV	28	advmod
28	400	NUM	34	obj
29	of	ADP	30	case
30	whom	PRON	28	nmod
31	the	DET	32	det
32	Pakistanis	PROPN	34	nsubj
33	have	AUX	34	aux
34	turned	VERB	25	acl:relcl
35	over	ADP	34	compound:prt
36	to	ADP	38	case
37	the	DET	38	det
38	US	PROPN	34	obl
39	.	PUNCT	5	punct