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:
De acuerdo con APAVIT, la medida afecta a los usuarios del transporte aéreo que verán aumentado sus costos, lo que también aumentaría el desempleo con el posible cierre de algunas agencias de viajes.
Postion	Tokenization
1	De
2	acuerdo
3	con
4	APAVIT
5	,
6	la
7	medida
8	afecta
9	a
10	los
11	usuarios
12	del
13	transporte
14	aéreo
15	que
16	verán
17	aumentado
18	sus
19	costos
20	,
21	lo
22	que
23	también
24	aumentaría
25	el
26	desempleo
27	con
28	el
29	posible
30	cierre
31	de
32	algunas
33	agencias
34	de
35	viajes
36	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	4	case
2	acuerdo	NOUN	1	fixed
3	con	ADP	1	fixed
4	APAVIT	PROPN	8	obl
5	,	PUNCT	4	punct
6	la	DET	7	det
7	medida	NOUN	8	nsubj
8	afecta	VERB	0	root
9	a	ADP	16	mark
10	los	DET	16	det
11	usuarios	ADJ	16	amod
12	del	ADP	13	case
13	transporte	NOUN	16	obj
14	aéreo	ADJ	13	amod
15	que	PRON	16	nsubj
16	verán	VERB	8	ccomp
17	aumentado	ADJ	16	obj
18	sus	DET	19	det
19	costos	NOUN	16	obj
20	,	PUNCT	24	punct
21	lo	PRON	24	det
22	que	PRON	24	nsubj
23	también	ADV	24	advmod
24	aumentaría	VERB	16	advcl
25	el	DET	26	det
26	desempleo	NOUN	24	obj
27	con	ADP	30	case
28	el	DET	30	det
29	posible	ADJ	30	amod
30	cierre	NOUN	24	obl
31	de	ADP	33	case
32	algunas	DET	33	det
33	agencias	NOUN	30	nmod
34	de	ADP	35	case
35	viajes	NOUN	33	nmod
36	.	PUNCT	8	punct