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:
Según cifras definitivas, el Dow Jones Industriales, que mide el cambio de 30 grandes empresas estadounidenses, perdió 49,64 unidades o un 0,45 por ciento a 10.963,80 puntos.
Postion	Tokenization
1	Según
2	cifras
3	definitivas
4	,
5	el
6	Dow
7	Jones
8	Industriales
9	,
10	que
11	mide
12	el
13	cambio
14	de
15	30
16	grandes
17	empresas
18	estadounidenses
19	,
20	perdió
21	49,64
22	unidades
23	o
24	un
25	0,45
26	por
27	ciento
28	a
29	10.963,80
30	puntos
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	2	case
2	cifras	NOUN	20	obl
3	definitivas	ADJ	2	amod
4	,	PUNCT	2	punct
5	el	DET	6	det
6	Dow	PROPN	20	nsubj
7	Jones	PROPN	6	flat
8	Industriales	PROPN	6	flat
9	,	PUNCT	11	punct
10	que	PRON	11	nsubj
11	mide	VERB	6	acl
12	el	DET	13	det
13	cambio	NOUN	11	obj
14	de	ADP	17	case
15	30	NUM	17	nummod
16	grandes	ADJ	17	amod
17	empresas	NOUN	13	nmod
18	estadounidenses	ADJ	17	amod
19	,	PUNCT	11	punct
20	perdió	VERB	0	root
21	49,64	NUM	22	nummod
22	unidades	NOUN	20	obj
23	o	CCONJ	25	cc
24	un	DET	25	det
25	0,45	NUM	22	conj
26	por	ADP	27	case
27	ciento	NUM	25	compound
28	a	ADP	30	case
29	10.963,80	NUM	30	nummod
30	puntos	NOUN	20	obl
31	.	PUNCT	20	punct