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:
"Con las nuevas tiendas queremos tener más posibilidades en el mercado", apunta el consejero delegado de la empresa familiar propiedad de Carlos y Myriam Goetschel.
Postion	Tokenization
1	"
2	Con
3	las
4	nuevas
5	tiendas
6	queremos
7	tener
8	más
9	posibilidades
10	en
11	el
12	mercado
13	"
14	,
15	apunta
16	el
17	consejero
18	delegado
19	de
20	la
21	empresa
22	familiar
23	propiedad
24	de
25	Carlos
26	y
27	Myriam
28	Goetschel
29	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	6	punct
2	Con	ADP	5	case
3	las	DET	5	det
4	nuevas	ADJ	5	amod
5	tiendas	NOUN	6	obl
6	queremos	VERB	15	ccomp
7	tener	VERB	6	xcomp
8	más	ADV	9	advmod
9	posibilidades	NOUN	7	obj
10	en	ADP	12	case
11	el	DET	12	det
12	mercado	NOUN	9	nmod
13	"	PUNCT	6	punct
14	,	PUNCT	6	punct
15	apunta	VERB	0	root
16	el	DET	17	det
17	consejero	NOUN	15	nsubj
18	delegado	ADJ	17	amod
19	de	ADP	21	case
20	la	DET	21	det
21	empresa	NOUN	17	nmod
22	familiar	ADJ	21	amod
23	propiedad	NOUN	21	appos
24	de	ADP	25	case
25	Carlos	PROPN	23	nmod
26	y	CCONJ	27	cc
27	Myriam	PROPN	25	conj
28	Goetschel	PROPN	27	flat
29	.	PUNCT	15	punct