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:
Después de una larga odisea, el poeta argentino Juan Gelman ha conseguido realizar su sueño: encontrar a su nieta, desaparecida en 1976, al principio de la dictadura militar del general Videla.
Postion	Tokenization
1	Después
2	de
3	una
4	larga
5	odisea
6	,
7	el
8	poeta
9	argentino
10	Juan
11	Gelman
12	ha
13	conseguido
14	realizar
15	su
16	sueño
17	:
18	encontrar
19	a
20	su
21	nieta
22	,
23	desaparecida
24	en
25	1976
26	,
27	al
28	principio
29	de
30	la
31	dictadura
32	militar
33	del
34	general
35	Videla
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Después	ADV	13	advmod
2	de	ADP	5	case
3	una	DET	5	det
4	larga	ADJ	5	amod
5	odisea	NOUN	1	obl
6	,	PUNCT	1	punct
7	el	DET	8	det
8	poeta	NOUN	13	nsubj
9	argentino	ADJ	8	amod
10	Juan	PROPN	8	appos
11	Gelman	PROPN	10	flat
12	ha	AUX	13	aux
13	conseguido	VERB	0	root
14	realizar	VERB	13	xcomp
15	su	DET	16	det
16	sueño	NOUN	14	obj
17	:	PUNCT	18	punct
18	encontrar	VERB	16	acl
19	a	ADP	21	case
20	su	DET	21	det
21	nieta	NOUN	18	obj
22	,	PUNCT	23	punct
23	desaparecida	ADJ	21	amod
24	en	ADP	25	case
25	1976	NOUN	23	obl
26	,	PUNCT	28	punct
27	al	ADP	28	case
28	principio	NOUN	25	nmod
29	de	ADP	31	case
30	la	DET	31	det
31	dictadura	NOUN	28	nmod
32	militar	ADJ	31	amod
33	del	ADP	34	case
34	general	NOUN	31	nmod
35	Videla	PROPN	34	appos
36	.	PUNCT	13	punct