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 diseñador gallego manifestó que no está encontrando "agilidad de respuesta" por parte de la Administración gallega para el desarrollo de su proyecto que, Según explicó, pasa por "dar respuestas rápidas al mercado y competir mejor".
Postion	Tokenization
1	El
2	diseñador
3	gallego
4	manifestó
5	que
6	no
7	está
8	encontrando
9	"
10	agilidad
11	de
12	respuesta
13	"
14	por
15	parte
16	de
17	la
18	Administración
19	gallega
20	para
21	el
22	desarrollo
23	de
24	su
25	proyecto
26	que
27	,
28	Según
29	explicó
30	,
31	pasa
32	por
33	"
34	dar
35	respuestas
36	rápidas
37	al
38	mercado
39	y
40	competir
41	mejor
42	"
43	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	diseñador	NOUN	4	nsubj
3	gallego	ADJ	2	amod
4	manifestó	VERB	0	root
5	que	SCONJ	8	mark
6	no	ADV	8	advmod
7	está	AUX	8	aux
8	encontrando	VERB	4	ccomp
9	"	PUNCT	10	punct
10	agilidad	NOUN	8	obj
11	de	ADP	12	case
12	respuesta	NOUN	10	nmod
13	"	PUNCT	10	punct
14	por	ADP	18	case
15	parte	NOUN	14	fixed
16	de	ADP	14	fixed
17	la	DET	18	det
18	Administración	PROPN	10	nmod
19	gallega	ADJ	18	amod
20	para	ADP	22	case
21	el	DET	22	det
22	desarrollo	NOUN	10	nmod
23	de	ADP	25	case
24	su	DET	25	det
25	proyecto	NOUN	22	nmod
26	que	PRON	31	nsubj
27	,	PUNCT	29	punct
28	Según	SCONJ	29	mark
29	explicó	VERB	31	advcl
30	,	PUNCT	29	punct
31	pasa	VERB	25	acl
32	por	ADP	34	mark
33	"	PUNCT	34	punct
34	dar	VERB	31	xcomp
35	respuestas	NOUN	34	obj
36	rápidas	ADJ	35	amod
37	al	ADP	38	case
38	mercado	NOUN	34	obj
39	y	CCONJ	40	cc
40	competir	VERB	34	conj
41	mejor	ADV	40	advmod
42	"	PUNCT	31	punct
43	.	PUNCT	4	punct