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:
Ya en 1906 la North American Review informaba que los muertos en accidentes de auto superaban a los de la guerra de Cuba.
Postion	Tokenization
1	Ya
2	en
3	1906
4	la
5	North
6	American
7	Review
8	informaba
9	que
10	los
11	muertos
12	en
13	accidentes
14	de
15	auto
16	superaban
17	a
18	los
19	de
20	la
21	guerra
22	de
23	Cuba
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Ya	ADV	8	advmod
2	en	ADP	3	case
3	1906	NOUN	8	obl
4	la	DET	5	det
5	North	PROPN	8	nsubj
6	American	PROPN	5	flat
7	Review	PROPN	5	flat
8	informaba	VERB	0	root
9	que	SCONJ	16	mark
10	los	DET	11	det
11	muertos	NOUN	16	nsubj
12	en	ADP	13	case
13	accidentes	NOUN	11	nmod
14	de	ADP	15	case
15	auto	NOUN	13	nmod
16	superaban	VERB	8	ccomp
17	a	ADP	18	case
18	los	DET	16	det
19	de	ADP	18	case
20	la	DET	21	det
21	guerra	NOUN	18	obj
22	de	ADP	23	case
23	Cuba	PROPN	21	nmod
24	.	PUNCT	8	punct