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:
14 - Number of Immigration and Naturalisation Service (INS) agents assigned to track down 1,200 known illegal immigrants in the United States from countries where al-Qa'ida is active.
Postion	Tokenization
1	14
2	-
3	Number
4	of
5	Immigration
6	and
7	Naturalisation
8	Service
9	(
10	INS
11	)
12	agents
13	assigned
14	to
15	track
16	down
17	1,200
18	known
19	illegal
20	immigrants
21	in
22	the
23	United
24	States
25	from
26	countries
27	where
28	al
29	-
30	Qa'ida
31	is
32	active
33	.
Position	Tokenization	UPOS	Head	Deprel
1	14	NUM	0	root
2	-	PUNCT	1	punct
3	Number	NOUN	1	appos
4	of	ADP	12	case
5	Immigration	PROPN	8	compound
6	and	CCONJ	7	cc
7	Naturalisation	PROPN	5	conj
8	Service	PROPN	12	compound
9	(	PUNCT	10	punct
10	INS	PROPN	8	appos
11	)	PUNCT	10	punct
12	agents	NOUN	3	nmod
13	assigned	VERB	12	acl
14	to	PART	15	mark
15	track	VERB	13	xcomp
16	down	ADP	15	compound:prt
17	1,200	NUM	20	nummod
18	known	VERB	20	amod
19	illegal	ADJ	20	amod
20	immigrants	NOUN	15	obj
21	in	ADP	24	case
22	the	DET	24	det
23	United	PROPN	24	compound
24	States	PROPN	20	nmod
25	from	ADP	26	case
26	countries	NOUN	20	nmod
27	where	SCONJ	32	mark
28	al	PROPN	30	compound
29	-	PUNCT	30	punct
30	Qa'ida	PROPN	32	nsubj
31	is	AUX	32	cop
32	active	ADJ	26	acl:relcl
33	.	PUNCT	1	punct