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:
President Bush has always said that working for Blount was the reason he transferred to the Alabama Air National Guard.
Postion	Tokenization
1	President
2	Bush
3	has
4	always
5	said
6	that
7	working
8	for
9	Blount
10	was
11	the
12	reason
13	he
14	transferred
15	to
16	the
17	Alabama
18	Air
19	National
20	Guard
21	.
Position	Tokenization	UPOS	Head	Deprel
1	President	PROPN	5	nsubj
2	Bush	PROPN	1	flat
3	has	AUX	5	aux
4	always	ADV	5	advmod
5	said	VERB	0	root
6	that	SCONJ	12	mark
7	working	VERB	12	csubj
8	for	ADP	9	case
9	Blount	PROPN	7	obl
10	was	AUX	12	cop
11	the	DET	12	det
12	reason	NOUN	5	ccomp
13	he	PRON	14	nsubj
14	transferred	VERB	12	acl:relcl
15	to	ADP	20	case
16	the	DET	20	det
17	Alabama	PROPN	20	compound
18	Air	PROPN	20	compound
19	National	PROPN	20	compound
20	Guard	PROPN	14	obl
21	.	PUNCT	5	punct