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 Communist party has the largest number of registered party members in the country and can be considered as the oldest popular political party in Iraq.
Postion	Tokenization
1	The
2	Communist
3	party
4	has
5	the
6	largest
7	number
8	of
9	registered
10	party
11	members
12	in
13	the
14	country
15	and
16	can
17	be
18	considered
19	as
20	the
21	oldest
22	popular
23	political
24	party
25	in
26	Iraq
27	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	Communist	PROPN	3	compound
3	party	PROPN	4	nsubj
4	has	VERB	0	root
5	the	DET	7	det
6	largest	ADJ	7	amod
7	number	NOUN	4	obj
8	of	ADP	11	case
9	registered	VERB	11	amod
10	party	NOUN	11	compound
11	members	NOUN	7	nmod
12	in	ADP	14	case
13	the	DET	14	det
14	country	NOUN	7	nmod
15	and	CCONJ	18	cc
16	can	AUX	18	aux
17	be	AUX	18	aux:pass
18	considered	VERB	4	conj
19	as	ADP	24	case
20	the	DET	24	det
21	oldest	ADJ	24	amod
22	popular	ADJ	24	amod
23	political	ADJ	24	amod
24	party	NOUN	18	obl
25	in	ADP	26	case
26	Iraq	PROPN	24	nmod
27	.	PUNCT	4	punct