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:
A una aerolínea estadounidense, cuyo nombre Leiva no precisó, y a la local Isleña Airlines se les impuso sanciones similares por la misma causa.
Postion	Tokenization
1	A
2	una
3	aerolínea
4	estadounidense
5	,
6	cuyo
7	nombre
8	Leiva
9	no
10	precisó
11	,
12	y
13	a
14	la
15	local
16	Isleña
17	Airlines
18	se
19	les
20	impuso
21	sanciones
22	similares
23	por
24	la
25	misma
26	causa
27	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	3	case
2	una	DET	3	det
3	aerolínea	NOUN	20	obj
4	estadounidense	ADJ	3	amod
5	,	PUNCT	10	punct
6	cuyo	PRON	7	nmod
7	nombre	NOUN	10	obj
8	Leiva	PROPN	10	nsubj
9	no	ADV	10	advmod
10	precisó	VERB	3	acl
11	,	PUNCT	16	punct
12	y	CCONJ	16	cc
13	a	ADP	16	case
14	la	DET	16	det
15	local	ADJ	16	amod
16	Isleña	PROPN	3	conj
17	Airlines	PROPN	16	flat
18	se	PRON	20	expl:impers
19	les	PRON	20	obj
20	impuso	VERB	0	root
21	sanciones	NOUN	20	nsubj
22	similares	ADJ	21	amod
23	por	ADP	26	case
24	la	DET	26	det
25	misma	DET	24	det
26	causa	NOUN	20	obl
27	.	PUNCT	20	punct