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:
Y ya sé que, con esos nombres, todos nuestros niños parecerán medio comanches, pero, hoy por hoy, la Historia de este país no da para más.
Postion	Tokenization
1	Y
2	ya
3	sé
4	que
5	,
6	con
7	esos
8	nombres
9	,
10	todos
11	nuestros
12	niños
13	parecerán
14	medio
15	comanches
16	,
17	pero
18	,
19	hoy
20	por
21	hoy
22	,
23	la
24	Historia
25	de
26	este
27	país
28	no
29	da
30	para
31	más
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	3	advmod
2	ya	ADV	3	advmod
3	sé	VERB	0	root
4	que	SCONJ	13	mark
5	,	PUNCT	8	punct
6	con	ADP	8	case
7	esos	DET	8	det
8	nombres	NOUN	13	obl
9	,	PUNCT	8	punct
10	todos	DET	11	det
11	nuestros	DET	12	det
12	niños	NOUN	13	nsubj
13	parecerán	VERB	3	ccomp
14	medio	ADV	13	advmod
15	comanches	ADJ	13	xcomp
16	,	PUNCT	29	punct
17	pero	CCONJ	29	cc
18	,	PUNCT	19	punct
19	hoy	NOUN	29	advmod
20	por	ADP	19	fixed
21	hoy	NOUN	19	fixed
22	,	PUNCT	19	punct
23	la	DET	24	det
24	Historia	PROPN	29	nsubj
25	de	ADP	27	case
26	este	DET	27	det
27	país	NOUN	24	nmod
28	no	ADV	29	advmod
29	da	VERB	3	conj
30	para	ADP	31	case
31	más	ADV	29	advmod
32	.	PUNCT	3	punct