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:
Otro medio centenar que llegó a Panamá en octubre pasado, sin recursos económicos ni pasajes de regreso a Ecuador, fue repatriado nada más desembarcar en el aeropuerto internacional de Tocumen, en la capital panameña.
Postion	Tokenization
1	Otro
2	medio
3	centenar
4	que
5	llegó
6	a
7	Panamá
8	en
9	octubre
10	pasado
11	,
12	sin
13	recursos
14	económicos
15	ni
16	pasajes
17	de
18	regreso
19	a
20	Ecuador
21	,
22	fue
23	repatriado
24	nada
25	más
26	desembarcar
27	en
28	el
29	aeropuerto
30	internacional
31	de
32	Tocumen
33	,
34	en
35	la
36	capital
37	panameña
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Otro	DET	3	det
2	medio	NUM	1	nummod
3	centenar	NOUN	23	nsubj
4	que	PRON	5	nsubj
5	llegó	VERB	3	acl
6	a	ADP	7	case
7	Panamá	PROPN	5	obl
8	en	ADP	9	case
9	octubre	NOUN	5	obl
10	pasado	ADJ	9	amod
11	,	PUNCT	13	punct
12	sin	ADP	13	case
13	recursos	NOUN	5	obl
14	económicos	ADJ	13	amod
15	ni	CCONJ	16	cc
16	pasajes	NOUN	13	conj
17	de	ADP	18	case
18	regreso	NOUN	16	nmod
19	a	ADP	20	case
20	Ecuador	PROPN	18	nmod
21	,	PUNCT	13	punct
22	fue	AUX	23	aux
23	repatriado	VERB	0	root
24	nada	NOUN	26	advmod
25	más	ADV	24	fixed
26	desembarcar	VERB	23	advcl
27	en	ADP	29	case
28	el	DET	29	det
29	aeropuerto	NOUN	26	obl
30	internacional	ADJ	29	amod
31	de	ADP	32	case
32	Tocumen	PROPN	29	nmod
33	,	PUNCT	36	punct
34	en	ADP	36	case
35	la	DET	36	det
36	capital	NOUN	29	nmod
37	panameña	ADJ	36	amod
38	.	PUNCT	23	punct