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:
"No hay lógica en que nosotros tengamos que indexar el precio de algunos servicios por el índice de inflación en EEUU", afirmó hoy en rueda de prensa el ministro de Economía, José Luis Machinea.
Postion	Tokenization
1	"
2	No
3	hay
4	lógica
5	en
6	que
7	nosotros
8	tengamos
9	que
10	indexar
11	el
12	precio
13	de
14	algunos
15	servicios
16	por
17	el
18	índice
19	de
20	inflación
21	en
22	EEUU
23	"
24	,
25	afirmó
26	hoy
27	en
28	rueda
29	de
30	prensa
31	el
32	ministro
33	de
34	Economía
35	,
36	José
37	Luis
38	Machinea
39	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	No	ADV	3	advmod
3	hay	AUX	25	ccomp
4	lógica	NOUN	3	obj
5	en	ADP	8	mark
6	que	SCONJ	10	mark
7	nosotros	PRON	10	nsubj
8	tengamos	VERB	3	advcl
9	que	SCONJ	10	cc
10	indexar	VERB	8	conj
11	el	DET	12	det
12	precio	NOUN	10	obj
13	de	ADP	15	case
14	algunos	DET	15	det
15	servicios	NOUN	12	nmod
16	por	ADP	18	case
17	el	DET	18	det
18	índice	NOUN	10	obl
19	de	ADP	20	case
20	inflación	NOUN	18	nmod
21	en	ADP	22	case
22	EEUU	PROPN	20	nmod
23	"	PUNCT	3	punct
24	,	PUNCT	3	punct
25	afirmó	VERB	0	root
26	hoy	ADV	25	advmod
27	en	ADP	28	case
28	rueda	NOUN	25	obl
29	de	ADP	30	case
30	prensa	NOUN	28	nmod
31	el	DET	32	det
32	ministro	NOUN	25	nsubj
33	de	ADP	34	case
34	Economía	PROPN	32	nmod
35	,	PUNCT	36	punct
36	José	PROPN	32	appos
37	Luis	PROPN	36	flat
38	Machinea	PROPN	36	flat
39	.	PUNCT	25	punct