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:
para obtener el volumen global de la inversión que financia directamente el Estado, continúa el texto, han de añadirse a las del Estado, Seguridad Social y Organismos Públicos "los recursos que los Presupuestos destinan a la realización de inversiones reales en el territorio de las Comunidades Autónomas y que se canalizan a través de Fondo de Compensación Interterritorial, dotado este año con 146.564 millones.
Postion	Tokenization
1	para
2	obtener
3	el
4	volumen
5	global
6	de
7	la
8	inversión
9	que
10	financia
11	directamente
12	el
13	Estado
14	,
15	continúa
16	el
17	texto
18	,
19	han
20	de
21	añadirse
22	añadir
23	se
24	a
25	las
26	del
27	Estado
28	,
29	Seguridad
30	Social
31	y
32	Organismos
33	Públicos
34	"
35	los
36	recursos
37	que
38	los
39	Presupuestos
40	destinan
41	a
42	la
43	realización
44	de
45	inversiones
46	reales
47	en
48	el
49	territorio
50	de
51	las
52	Comunidades
53	Autónomas
54	y
55	que
56	se
57	canalizan
58	a
59	través
60	de
61	Fondo
62	de
63	Compensación
64	Interterritorial
65	,
66	dotado
67	este
68	año
69	con
70	146.564
71	millones
72	.
Position	Tokenization	UPOS	Head	Deprel
1	para	ADP	2	mark
2	obtener	VERB	21	advcl
3	el	DET	4	det
4	volumen	NOUN	2	obj
5	global	ADJ	4	amod
6	de	ADP	8	case
7	la	DET	8	det
8	inversión	NOUN	4	nmod
9	que	PRON	10	obj
10	financia	VERB	8	acl
11	directamente	ADV	10	advmod
12	el	DET	13	det
13	Estado	PROPN	10	nsubj
14	,	PUNCT	15	punct
15	continúa	VERB	21	parataxis
16	el	DET	17	det
17	texto	NOUN	15	nsubj
18	,	PUNCT	15	punct
19	han	AUX	21	aux
20	de	ADP	21	mark
21	añadirse	_	None	_
22	añadir	VERB	0	root
23	se	PRON	21	expl:pass
24	a	ADP	24	case
25	las	DET	21	det
26	del	ADP	24	case
27	Estado	PROPN	24	obj
28	,	PUNCT	28	punct
29	Seguridad	PROPN	26	flat
30	Social	PROPN	28	flat
31	y	CCONJ	31	cc
32	Organismos	PROPN	26	conj
33	Públicos	PROPN	31	flat
34	"	PUNCT	21	punct
35	los	DET	35	det
36	recursos	NOUN	21	nsubj
37	que	PRON	39	obj
38	los	DET	38	det
39	Presupuestos	PROPN	39	nsubj
40	destinan	VERB	35	acl
41	a	ADP	42	case
42	la	DET	42	det
43	realización	NOUN	39	obj
44	de	ADP	44	case
45	inversiones	NOUN	42	nmod
46	reales	ADJ	44	amod
47	en	ADP	48	case
48	el	DET	48	det
49	territorio	NOUN	42	nmod
50	de	ADP	51	case
51	las	DET	51	det
52	Comunidades	PROPN	48	nmod
53	Autónomas	PROPN	51	flat
54	y	CCONJ	56	cc
55	que	PRON	56	nsubj
56	se	PRON	56	expl:pass
57	canalizan	VERB	39	conj
58	a	ADP	60	case
59	través	NOUN	57	fixed
60	de	ADP	57	fixed
61	Fondo	PROPN	56	obl
62	de	ADP	62	case
63	Compensación	PROPN	60	flat
64	Interterritorial	PROPN	62	flat
65	,	PUNCT	65	punct
66	dotado	ADJ	60	amod
67	este	DET	67	det
68	año	NOUN	65	obl
69	con	ADP	70	case
70	146.564	NUM	70	nummod
71	millones	NOUN	65	obj
72	.	PUNCT	21	punct