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:
This refers to the alleged scanning of all Usenet traffic by the National Security Agency (and possibly other intelligence organizations) for interesting keywords.
Postion	Tokenization
1	This
2	refers
3	to
4	the
5	alleged
6	scanning
7	of
8	all
9	Usenet
10	traffic
11	by
12	the
13	National
14	Security
15	Agency
16	(
17	and
18	possibly
19	other
20	intelligence
21	organizations
22	)
23	for
24	interesting
25	keywords
26	.
Position	Tokenization	UPOS	Head	Deprel
1	This	PRON	2	nsubj
2	refers	VERB	0	root
3	to	ADP	6	case
4	the	DET	6	det
5	alleged	VERB	6	amod
6	scanning	NOUN	2	obl
7	of	ADP	10	case
8	all	DET	10	det
9	Usenet	PROPN	10	compound
10	traffic	NOUN	6	nmod
11	by	ADP	15	case
12	the	DET	15	det
13	National	PROPN	15	compound
14	Security	PROPN	15	compound
15	Agency	PROPN	6	nmod
16	(	PUNCT	15	punct
17	and	CCONJ	21	cc
18	possibly	ADV	21	advmod
19	other	ADJ	21	amod
20	intelligence	NOUN	21	compound
21	organizations	NOUN	15	conj
22	)	PUNCT	15	punct
23	for	ADP	25	case
24	interesting	ADJ	25	amod
25	keywords	NOUN	6	nmod
26	.	PUNCT	2	punct