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:
Some 2,000 junior officers of the old Baath army have been recalled to duty in recent months, something Chalabi would have blocked if he could have.
Postion	Tokenization
1	Some
2	2,000
3	junior
4	officers
5	of
6	the
7	old
8	Baath
9	army
10	have
11	been
12	recalled
13	to
14	duty
15	in
16	recent
17	months
18	,
19	something
20	Chalabi
21	would
22	have
23	blocked
24	if
25	he
26	could
27	have
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Some	DET	4	det
2	2,000	NUM	4	nummod
3	junior	ADJ	4	amod
4	officers	NOUN	12	nsubj:pass
5	of	ADP	9	case
6	the	DET	9	det
7	old	ADJ	9	amod
8	Baath	PROPN	9	compound
9	army	NOUN	4	nmod
10	have	AUX	12	aux
11	been	AUX	12	aux:pass
12	recalled	VERB	0	root
13	to	ADP	14	case
14	duty	NOUN	12	obl
15	in	ADP	17	case
16	recent	ADJ	17	amod
17	months	NOUN	12	obl
18	,	PUNCT	12	punct
19	something	PRON	12	obl:npmod
20	Chalabi	PROPN	23	nsubj
21	would	AUX	23	aux
22	have	AUX	23	aux
23	blocked	VERB	19	acl:relcl
24	if	SCONJ	27	mark
25	he	PRON	27	nsubj
26	could	AUX	27	aux
27	have	VERB	23	advcl
28	.	PUNCT	12	punct