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:
Bach, por otra parte, anunció que el grupo traslada su sede española a Tarragona y que dentro del programa de inversiones previstas (116.000 millones para los próximos cinco años) han sido aprobados ya 67.000.
Postion	Tokenization
1	Bach
2	,
3	por
4	otra
5	parte
6	,
7	anunció
8	que
9	el
10	grupo
11	traslada
12	su
13	sede
14	española
15	a
16	Tarragona
17	y
18	que
19	dentro
20	del
21	programa
22	de
23	inversiones
24	previstas
25	(
26	116.000
27	millones
28	para
29	los
30	próximos
31	cinco
32	años
33	)
34	han
35	sido
36	aprobados
37	ya
38	67.000
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Bach	PROPN	7	nsubj
2	,	PUNCT	5	punct
3	por	ADP	5	case
4	otra	DET	5	det
5	parte	NOUN	7	obl
6	,	PUNCT	5	punct
7	anunció	VERB	0	root
8	que	SCONJ	11	mark
9	el	DET	10	det
10	grupo	NOUN	11	nsubj
11	traslada	VERB	7	ccomp
12	su	DET	13	det
13	sede	NOUN	11	obj
14	española	ADJ	13	amod
15	a	ADP	16	case
16	Tarragona	PROPN	11	obl
17	y	CCONJ	36	cc
18	que	SCONJ	36	mark
19	dentro	ADV	36	advmod
20	del	ADP	21	case
21	programa	NOUN	19	obl
22	de	ADP	23	case
23	inversiones	NOUN	21	nmod
24	previstas	ADJ	23	amod
25	(	PUNCT	27	punct
26	116.000	NUM	27	nummod
27	millones	NOUN	23	appos
28	para	ADP	32	case
29	los	DET	30	det
30	próximos	NOUN	32	nmod
31	cinco	NUM	30	nummod
32	años	NOUN	27	nmod
33	)	PUNCT	27	punct
34	han	AUX	36	aux
35	sido	AUX	36	aux
36	aprobados	VERB	11	conj
37	ya	ADV	36	advmod
38	67.000	NUM	36	nsubj
39	.	PUNCT	7	punct