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:
Las inversiones del Estado, la Seguridad Social y los Organismos Públicos en el año 2001 aumentarán en todas las comunidades autónomas excepto en Cataluña y lo harán más en Navarra, según los datos de distribución territorial de la inversión pública que se incluyen en el proyecto de Presupuestos Generales del Estado para el próximo año.
Postion	Tokenization
1	Las
2	inversiones
3	del
4	Estado
5	,
6	la
7	Seguridad
8	Social
9	y
10	los
11	Organismos
12	Públicos
13	en
14	el
15	año
16	2001
17	aumentarán
18	en
19	todas
20	las
21	comunidades
22	autónomas
23	excepto
24	en
25	Cataluña
26	y
27	lo
28	harán
29	más
30	en
31	Navarra
32	,
33	según
34	los
35	datos
36	de
37	distribución
38	territorial
39	de
40	la
41	inversión
42	pública
43	que
44	se
45	incluyen
46	en
47	el
48	proyecto
49	de
50	Presupuestos
51	Generales
52	del
53	Estado
54	para
55	el
56	próximo
57	año
58	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	inversiones	NOUN	17	nsubj
3	del	ADP	4	case
4	Estado	PROPN	2	nmod
5	,	PUNCT	7	punct
6	la	DET	7	det
7	Seguridad	PROPN	4	flat
8	Social	PROPN	7	flat
9	y	CCONJ	11	cc
10	los	DET	11	det
11	Organismos	PROPN	4	conj
12	Públicos	PROPN	11	flat
13	en	ADP	15	case
14	el	DET	15	det
15	año	NOUN	2	nmod
16	2001	NUM	15	compound
17	aumentarán	VERB	0	root
18	en	ADP	21	case
19	todas	DET	20	det
20	las	DET	21	det
21	comunidades	NOUN	17	obl
22	autónomas	ADJ	21	amod
23	excepto	ADP	25	case
24	en	ADP	25	case
25	Cataluña	PROPN	21	nmod
26	y	CCONJ	28	cc
27	lo	PRON	28	obj
28	harán	VERB	17	conj
29	más	ADV	28	advmod
30	en	ADP	31	case
31	Navarra	PROPN	28	obl
32	,	PUNCT	35	punct
33	según	ADP	35	case
34	los	DET	35	det
35	datos	NOUN	17	obl
36	de	ADP	37	case
37	distribución	NOUN	35	nmod
38	territorial	ADJ	37	amod
39	de	ADP	41	case
40	la	DET	41	det
41	inversión	NOUN	37	nmod
42	pública	ADJ	41	amod
43	que	PRON	45	nsubj
44	se	PRON	45	expl:pass
45	incluyen	VERB	35	acl
46	en	ADP	48	case
47	el	DET	48	det
48	proyecto	NOUN	45	obl
49	de	ADP	50	case
50	Presupuestos	PROPN	48	nmod
51	Generales	PROPN	50	flat
52	del	ADP	53	case
53	Estado	PROPN	50	flat
54	para	ADP	57	case
55	el	DET	57	det
56	próximo	ADJ	57	amod
57	año	NOUN	50	nmod
58	.	PUNCT	17	punct