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:
El presidente hizo un balance muy positivo de la economía española, con especial referencia a la buena marcha del empleo, si bien admitió su preocupación por la inflación.
Postion	Tokenization
1	El
2	presidente
3	hizo
4	un
5	balance
6	muy
7	positivo
8	de
9	la
10	economía
11	española
12	,
13	con
14	especial
15	referencia
16	a
17	la
18	buena
19	marcha
20	del
21	empleo
22	,
23	si
24	bien
25	admitió
26	su
27	preocupación
28	por
29	la
30	inflación
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	3	nsubj
3	hizo	VERB	0	root
4	un	DET	5	det
5	balance	NOUN	3	obj
6	muy	ADV	7	advmod
7	positivo	ADJ	5	amod
8	de	ADP	10	case
9	la	DET	10	det
10	economía	NOUN	5	nmod
11	española	ADJ	10	amod
12	,	PUNCT	15	punct
13	con	ADP	15	case
14	especial	ADJ	15	amod
15	referencia	NOUN	5	nmod
16	a	ADP	19	case
17	la	DET	19	det
18	buena	ADJ	19	amod
19	marcha	NOUN	15	nmod
20	del	ADP	21	case
21	empleo	NOUN	19	nmod
22	,	PUNCT	25	punct
23	si	SCONJ	25	mark
24	bien	ADV	23	fixed
25	admitió	VERB	3	advcl
26	su	DET	27	det
27	preocupación	NOUN	25	obj
28	por	ADP	30	case
29	la	DET	30	det
30	inflación	NOUN	27	nmod
31	.	PUNCT	3	punct