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:
El portavoz socialista de Infraestructuras, José Segura, justificó hoy esta medida, que se completa con enmiendas parciales, por "la ausencia de información y la falta de planificación" de las obras previstas.
Postion	Tokenization
1	El
2	portavoz
3	socialista
4	de
5	Infraestructuras
6	,
7	José
8	Segura
9	,
10	justificó
11	hoy
12	esta
13	medida
14	,
15	que
16	se
17	completa
18	con
19	enmiendas
20	parciales
21	,
22	por
23	"
24	la
25	ausencia
26	de
27	información
28	y
29	la
30	falta
31	de
32	planificación
33	"
34	de
35	las
36	obras
37	previstas
38	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	portavoz	NOUN	10	nsubj
3	socialista	ADJ	2	amod
4	de	ADP	5	case
5	Infraestructuras	PROPN	2	nmod
6	,	PUNCT	7	punct
7	José	PROPN	2	appos
8	Segura	PROPN	7	flat
9	,	PUNCT	7	punct
10	justificó	VERB	0	root
11	hoy	ADV	10	advmod
12	esta	DET	13	det
13	medida	NOUN	10	obj
14	,	PUNCT	17	punct
15	que	PRON	17	nsubj
16	se	PRON	17	expl:pass
17	completa	VERB	13	acl
18	con	ADP	19	case
19	enmiendas	NOUN	17	obl
20	parciales	ADJ	19	amod
21	,	PUNCT	25	punct
22	por	ADP	25	case
23	"	PUNCT	25	punct
24	la	DET	25	det
25	ausencia	NOUN	17	obl
26	de	ADP	27	case
27	información	NOUN	25	nmod
28	y	CCONJ	30	cc
29	la	DET	30	det
30	falta	NOUN	25	conj
31	de	ADP	32	case
32	planificación	NOUN	30	nmod
33	"	PUNCT	32	punct
34	de	ADP	36	case
35	las	DET	36	det
36	obras	NOUN	30	nmod
37	previstas	ADJ	36	amod
38	.	PUNCT	10	punct