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:
Both Dawa and SCIRI have umbilical connections to the fundamentalist Shi'ite leadership in Iran that go back decades.
Postion	Tokenization
1	Both
2	Dawa
3	and
4	SCIRI
5	have
6	umbilical
7	connections
8	to
9	the
10	fundamentalist
11	Shi'ite
12	leadership
13	in
14	Iran
15	that
16	go
17	back
18	decades
19	.
Position	Tokenization	UPOS	Head	Deprel
1	Both	CCONJ	2	cc:preconj
2	Dawa	PROPN	5	nsubj
3	and	CCONJ	4	cc
4	SCIRI	PROPN	2	conj
5	have	VERB	0	root
6	umbilical	ADJ	7	amod
7	connections	NOUN	5	obj
8	to	ADP	12	case
9	the	DET	12	det
10	fundamentalist	ADJ	11	amod
11	Shi'ite	ADJ	12	amod
12	leadership	NOUN	7	nmod
13	in	ADP	14	case
14	Iran	PROPN	12	nmod
15	that	PRON	16	nsubj
16	go	VERB	7	acl:relcl
17	back	ADV	16	advmod
18	decades	NOUN	16	obl:tmod
19	.	PUNCT	5	punct