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:
The media routinely obscures the lines between terrorism and legitimate resistance, as the recent article by Daniel Okrent of The New York Times demonstrates .
Postion	Tokenization
1	The
2	media
3	routinely
4	obscures
5	the
6	lines
7	between
8	terrorism
9	and
10	legitimate
11	resistance
12	,
13	as
14	the
15	recent
16	article
17	by
18	Daniel
19	Okrent
20	of
21	The
22	New
23	York
24	Times
25	demonstrates
26	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	media	NOUN	4	nsubj
3	routinely	ADV	4	advmod
4	obscures	VERB	0	root
5	the	DET	6	det
6	lines	NOUN	4	obj
7	between	ADP	8	case
8	terrorism	NOUN	6	nmod
9	and	CCONJ	11	cc
10	legitimate	ADJ	11	amod
11	resistance	NOUN	8	conj
12	,	PUNCT	4	punct
13	as	SCONJ	25	mark
14	the	DET	16	det
15	recent	ADJ	16	amod
16	article	NOUN	25	nsubj
17	by	ADP	18	case
18	Daniel	PROPN	16	nmod
19	Okrent	PROPN	18	flat
20	of	ADP	24	case
21	The	DET	24	det
22	New	PROPN	23	compound
23	York	PROPN	24	compound
24	Times	PROPN	18	nmod
25	demonstrates	VERB	4	advcl
26	.	PUNCT	4	punct