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:
En Panamá operan unas 180 de estas pequeñas empresas, las cuales en noviembre pasado vendieron cerca de un 80 por ciento de los boletos de las líneas aéreas, unos 90 millones de dólares, según la APAVIT.
Postion	Tokenization
1	En
2	Panamá
3	operan
4	unas
5	180
6	de
7	estas
8	pequeñas
9	empresas
10	,
11	las
12	cuales
13	en
14	noviembre
15	pasado
16	vendieron
17	cerca
18	de
19	un
20	80
21	por
22	ciento
23	de
24	los
25	boletos
26	de
27	las
28	líneas
29	aéreas
30	,
31	unos
32	90
33	millones
34	de
35	dólares
36	,
37	según
38	la
39	APAVIT
40	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	Panamá	PROPN	3	obl
3	operan	VERB	0	root
4	unas	PRON	5	nmod
5	180	NUM	9	nummod
6	de	ADP	5	case
7	estas	PRON	5	nmod
8	pequeñas	ADJ	9	amod
9	empresas	NOUN	3	nsubj
10	,	PUNCT	16	punct
11	las	DET	12	det
12	cuales	PRON	16	nsubj
13	en	ADP	14	case
14	noviembre	NOUN	16	obl
15	pasado	ADJ	14	amod
16	vendieron	VERB	9	acl
17	cerca	ADV	19	advmod
18	de	ADP	17	fixed
19	un	PRON	20	nmod
20	80	NUM	16	obj
21	por	ADP	22	case
22	ciento	NUM	20	compound
23	de	ADP	25	case
24	los	DET	25	det
25	boletos	NOUN	20	nmod
26	de	ADP	28	case
27	las	DET	28	det
28	líneas	NOUN	25	nmod
29	aéreas	ADJ	28	amod
30	,	PUNCT	33	punct
31	unos	PRON	32	nmod
32	90	NUM	33	nummod
33	millones	NOUN	20	appos
34	de	ADP	35	case
35	dólares	NOUN	33	nmod
36	,	PUNCT	39	punct
37	según	ADP	39	case
38	la	DET	39	det
39	APAVIT	PROPN	16	obl
40	.	PUNCT	3	punct