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:
My friend goes to the Phils every 6 months or so and she has found that Korean Air has had the cheapest fares lately.
Postion	Tokenization
1	My
2	friend
3	goes
4	to
5	the
6	Phils
7	every
8	6
9	months
10	or
11	so
12	and
13	she
14	has
15	found
16	that
17	Korean
18	Air
19	has
20	had
21	the
22	cheapest
23	fares
24	lately
25	.
Position	Tokenization	UPOS	Head	Deprel
1	My	PRON	2	nmod:poss
2	friend	NOUN	3	nsubj
3	goes	VERB	0	root
4	to	ADP	6	case
5	the	DET	6	det
6	Phils	PROPN	3	obl
7	every	DET	9	det
8	6	NUM	9	nummod
9	months	NOUN	3	obl:npmod
10	or	CCONJ	11	cc
11	so	ADV	9	conj
12	and	CCONJ	15	cc
13	she	PRON	15	nsubj
14	has	AUX	15	aux
15	found	VERB	3	conj
16	that	SCONJ	20	mark
17	Korean	PROPN	18	compound
18	Air	PROPN	20	nsubj
19	has	AUX	20	aux
20	had	VERB	15	ccomp
21	the	DET	23	det
22	cheapest	ADJ	23	amod
23	fares	NOUN	20	obj
24	lately	ADV	20	advmod
25	.	PUNCT	3	punct