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:
No tenemos que pensar en la posible ausencia de Oberto, y sí tratar de hacer segundas ayudas ", aseveró el escolta argentino.
Postion	Tokenization
1	No
2	tenemos
3	que
4	pensar
5	en
6	la
7	posible
8	ausencia
9	de
10	Oberto
11	,
12	y
13	sí
14	tratar
15	de
16	hacer
17	segundas
18	ayudas
19	"
20	,
21	aseveró
22	el
23	escolta
24	argentino
25	.
Position	Tokenization	UPOS	Head	Deprel
1	No	ADV	4	advmod
2	tenemos	VERB	21	ccomp
3	que	SCONJ	4	cc
4	pensar	VERB	2	conj
5	en	ADP	8	case
6	la	DET	8	det
7	posible	ADJ	8	amod
8	ausencia	NOUN	4	obj
9	de	ADP	10	case
10	Oberto	PROPN	8	nmod
11	,	PUNCT	14	punct
12	y	CCONJ	14	cc
13	sí	INTJ	16	advcl
14	tratar	VERB	2	conj
15	de	ADP	16	mark
16	hacer	VERB	14	xcomp
17	segundas	ADJ	18	amod
18	ayudas	NOUN	16	obj
19	"	PUNCT	2	punct
20	,	PUNCT	2	punct
21	aseveró	VERB	0	root
22	el	DET	23	det
23	escolta	NOUN	21	nsubj
24	argentino	ADJ	23	amod
25	.	PUNCT	21	punct