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:
Le pidieron que hiciera un balance de su viaje a Los Angeles y lo mejor, según dijo, fue haber vuelto.
Postion	Tokenization
1	Le
2	pidieron
3	que
4	hiciera
5	un
6	balance
7	de
8	su
9	viaje
10	a
11	Los
12	Angeles
13	y
14	lo
15	mejor
16	,
17	según
18	dijo
19	,
20	fue
21	haber
22	vuelto
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	PRON	2	iobj
2	pidieron	VERB	0	root
3	que	SCONJ	4	mark
4	hiciera	VERB	2	ccomp
5	un	DET	6	det
6	balance	NOUN	4	obj
7	de	ADP	9	case
8	su	DET	9	det
9	viaje	NOUN	6	nmod
10	a	ADP	12	case
11	Los	DET	12	det
12	Angeles	PROPN	9	nmod
13	y	CCONJ	22	cc
14	lo	PRON	15	det
15	mejor	ADJ	22	nsubj
16	,	PUNCT	18	punct
17	según	SCONJ	18	mark
18	dijo	VERB	22	advcl
19	,	PUNCT	18	punct
20	fue	AUX	22	cop
21	haber	AUX	22	aux
22	vuelto	VERB	2	conj
23	.	PUNCT	2	punct