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:
Agradecemos a la providencia la vida que nos ha dado, pero - qué mal habría en el hecho de no haber nacido?.
Postion	Tokenization
1	Agradecemos
2	a
3	la
4	providencia
5	la
6	vida
7	que
8	nos
9	ha
10	dado
11	,
12	pero
13	-
14	qué
15	mal
16	habría
17	en
18	el
19	hecho
20	de
21	no
22	haber
23	nacido
24	?
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Agradecemos	VERB	0	root
2	a	ADP	4	case
3	la	DET	4	det
4	providencia	NOUN	1	obj
5	la	DET	6	det
6	vida	NOUN	1	obj
7	que	PRON	10	obj
8	nos	PRON	10	iobj
9	ha	AUX	10	aux
10	dado	VERB	6	acl
11	,	PUNCT	16	punct
12	pero	CCONJ	16	cc
13	-	PUNCT	16	punct
14	qué	DET	15	det
15	mal	NOUN	16	obj
16	habría	AUX	1	conj
17	en	ADP	19	case
18	el	DET	19	det
19	hecho	NOUN	16	obl
20	de	ADP	23	mark
21	no	ADV	23	advmod
22	haber	AUX	23	aux
23	nacido	VERB	19	acl
24	?	PUNCT	1	punct
25	.	PUNCT	1	punct