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 su editorial "Una bolsa penalizada", el diario económico señala que "la bolsa española afronta la recta final del primer semestre con uno de los peores resultados de la eurozona".
Postion	Tokenization
1	En
2	su
3	editorial
4	"
5	Una
6	bolsa
7	penalizada
8	"
9	,
10	el
11	diario
12	económico
13	señala
14	que
15	"
16	la
17	bolsa
18	española
19	afronta
20	la
21	recta
22	final
23	del
24	primer
25	semestre
26	con
27	uno
28	de
29	los
30	peores
31	resultados
32	de
33	la
34	eurozona
35	"
36	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	su	DET	3	det
3	editorial	NOUN	13	obl
4	"	PUNCT	5	punct
5	Una	DET	6	det
6	bolsa	PROPN	3	appos
7	penalizada	PROPN	6	flat
8	"	PUNCT	3	punct
9	,	PUNCT	3	punct
10	el	DET	11	det
11	diario	NOUN	13	nsubj
12	económico	ADJ	11	amod
13	señala	VERB	0	root
14	que	SCONJ	19	mark
15	"	PUNCT	19	punct
16	la	DET	17	det
17	bolsa	NOUN	19	nsubj
18	española	ADJ	17	amod
19	afronta	VERB	13	ccomp
20	la	DET	21	det
21	recta	NOUN	19	obj
22	final	ADJ	21	amod
23	del	ADP	25	case
24	primer	ADJ	25	amod
25	semestre	NOUN	21	nmod
26	con	ADP	27	case
27	uno	PRON	19	obl
28	de	ADP	31	case
29	los	DET	31	det
30	peores	ADJ	31	amod
31	resultados	NOUN	27	nmod
32	de	ADP	34	case
33	la	DET	34	det
34	eurozona	NOUN	31	nmod
35	"	PUNCT	19	punct
36	.	PUNCT	13	punct