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:
Por otra parte, el saltador pronosticó que el atletismo cubano va a obtener resultados superiores a los conseguidos en los pasados Juegos Olímpicos de Atlanta`96.
Postion	Tokenization
1	Por
2	otra
3	parte
4	,
5	el
6	saltador
7	pronosticó
8	que
9	el
10	atletismo
11	cubano
12	va
13	a
14	obtener
15	resultados
16	superiores
17	a
18	los
19	conseguidos
20	en
21	los
22	pasados
23	Juegos
24	Olímpicos
25	de
26	Atlanta`96
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	7	advmod
2	otra	NOUN	1	fixed
3	parte	NOUN	1	fixed
4	,	PUNCT	1	punct
5	el	DET	6	det
6	saltador	NOUN	7	nsubj
7	pronosticó	VERB	0	root
8	que	SCONJ	14	mark
9	el	DET	10	det
10	atletismo	NOUN	14	nsubj
11	cubano	ADJ	10	amod
12	va	AUX	14	aux
13	a	ADP	14	mark
14	obtener	VERB	7	xcomp
15	resultados	NOUN	14	obj
16	superiores	ADJ	15	amod
17	a	ADP	19	case
18	los	DET	19	det
19	conseguidos	ADJ	16	amod
20	en	ADP	23	case
21	los	DET	23	det
22	pasados	ADJ	23	amod
23	Juegos	PROPN	19	obl
24	Olímpicos	PROPN	23	flat
25	de	ADP	26	case
26	Atlanta`96	PROPN	23	nmod
27	.	PUNCT	7	punct