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:
Por el contrario, las inversiones de estos organismos y sociedades estatales bajan respecto al año anterior en tres comunidades autónomas (más en Cantabria, aunque también en el País Vasco y Asturias) y en las ciudades de Ceuta y Melilla.
Postion	Tokenization
1	Por
2	el
3	contrario
4	,
5	las
6	inversiones
7	de
8	estos
9	organismos
10	y
11	sociedades
12	estatales
13	bajan
14	respecto
15	al
16	año
17	anterior
18	en
19	tres
20	comunidades
21	autónomas
22	(
23	más
24	en
25	Cantabria
26	,
27	aunque
28	también
29	en
30	el
31	País
32	Vasco
33	y
34	Asturias
35	)
36	y
37	en
38	las
39	ciudades
40	de
41	Ceuta
42	y
43	Melilla
44	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	13	advmod
2	el	DET	1	fixed
3	contrario	NOUN	1	fixed
4	,	PUNCT	1	punct
5	las	DET	6	det
6	inversiones	NOUN	13	nsubj
7	de	ADP	9	case
8	estos	DET	9	det
9	organismos	NOUN	6	nmod
10	y	CCONJ	11	cc
11	sociedades	NOUN	9	conj
12	estatales	ADJ	9	amod
13	bajan	VERB	0	root
14	respecto	NOUN	16	case
15	al	ADP	14	fixed
16	año	NOUN	13	obl
17	anterior	ADJ	16	amod
18	en	ADP	20	case
19	tres	NUM	20	nummod
20	comunidades	NOUN	13	obl
21	autónomas	ADJ	20	amod
22	(	PUNCT	23	punct
23	más	ADV	20	dep
24	en	ADP	25	case
25	Cantabria	PROPN	23	nmod
26	,	PUNCT	23	punct
27	aunque	SCONJ	23	mark
28	también	ADV	23	advmod
29	en	ADP	23	case
30	el	DET	31	det
31	País	PROPN	23	nmod
32	Vasco	PROPN	31	flat
33	y	CCONJ	34	cc
34	Asturias	PROPN	31	conj
35	)	PUNCT	23	punct
36	y	CCONJ	39	cc
37	en	ADP	39	case
38	las	DET	39	det
39	ciudades	NOUN	20	conj
40	de	ADP	41	case
41	Ceuta	PROPN	39	nmod
42	y	CCONJ	43	cc
43	Melilla	PROPN	41	conj
44	.	PUNCT	13	punct