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:
En nuestra historia siempre hay un vino interior que nos subraya las emociones, un vino amargo de la decepción y un vino que nos dice de dónde venimos y dónde nos gustaría morir.
Postion	Tokenization
1	En
2	nuestra
3	historia
4	siempre
5	hay
6	un
7	vino
8	interior
9	que
10	nos
11	subraya
12	las
13	emociones
14	,
15	un
16	vino
17	amargo
18	de
19	la
20	decepción
21	y
22	un
23	vino
24	que
25	nos
26	dice
27	de
28	dónde
29	venimos
30	y
31	dónde
32	nos
33	gustaría
34	morir
35	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	nuestra	DET	3	det
3	historia	NOUN	5	obl
4	siempre	ADV	5	advmod
5	hay	AUX	0	root
6	un	DET	7	det
7	vino	NOUN	5	obj
8	interior	ADJ	7	amod
9	que	PRON	11	nsubj
10	nos	PRON	11	iobj
11	subraya	VERB	7	acl
12	las	DET	13	det
13	emociones	NOUN	11	obj
14	,	PUNCT	16	punct
15	un	DET	16	det
16	vino	NOUN	7	appos
17	amargo	ADJ	16	amod
18	de	ADP	20	case
19	la	DET	20	det
20	decepción	NOUN	16	nmod
21	y	CCONJ	23	cc
22	un	DET	23	det
23	vino	NOUN	7	conj
24	que	PRON	26	nsubj
25	nos	PRON	26	iobj
26	dice	VERB	23	acl
27	de	ADP	28	case
28	dónde	PRON	29	obl
29	venimos	VERB	26	ccomp
30	y	CCONJ	33	cc
31	dónde	PRON	33	obl
32	nos	PRON	33	iobj
33	gustaría	VERB	29	conj
34	morir	VERB	33	csubj
35	.	PUNCT	5	punct