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 técnico barcelonista ha asegurado que la visita de Gaspart ha contribuido a "sumar", y ha argumentado que el encuentro con el presidente significa que en el Barcelona "todos van en la misma dirección".
Postion	Tokenization
1	El
2	técnico
3	barcelonista
4	ha
5	asegurado
6	que
7	la
8	visita
9	de
10	Gaspart
11	ha
12	contribuido
13	a
14	"
15	sumar
16	"
17	,
18	y
19	ha
20	argumentado
21	que
22	el
23	encuentro
24	con
25	el
26	presidente
27	significa
28	que
29	en
30	el
31	Barcelona
32	"
33	todos
34	van
35	en
36	la
37	misma
38	dirección
39	"
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	técnico	NOUN	5	nsubj
3	barcelonista	ADJ	2	amod
4	ha	AUX	5	aux
5	asegurado	VERB	0	root
6	que	SCONJ	12	mark
7	la	DET	8	det
8	visita	NOUN	12	nsubj
9	de	ADP	10	case
10	Gaspart	PROPN	8	nmod
11	ha	AUX	12	aux
12	contribuido	VERB	5	ccomp
13	a	ADP	15	mark
14	"	PUNCT	15	punct
15	sumar	VERB	12	xcomp
16	"	PUNCT	15	punct
17	,	PUNCT	20	punct
18	y	CCONJ	20	cc
19	ha	AUX	20	aux
20	argumentado	VERB	5	conj
21	que	SCONJ	27	mark
22	el	DET	23	det
23	encuentro	NOUN	27	nsubj
24	con	ADP	26	case
25	el	DET	26	det
26	presidente	NOUN	23	nmod
27	significa	VERB	20	ccomp
28	que	SCONJ	34	mark
29	en	ADP	31	case
30	el	DET	31	det
31	Barcelona	PROPN	34	obl
32	"	PUNCT	34	punct
33	todos	PRON	34	nsubj
34	van	VERB	27	ccomp
35	en	ADP	38	case
36	la	DET	38	det
37	misma	DET	36	det
38	dirección	NOUN	34	obl
39	"	PUNCT	34	punct
40	.	PUNCT	5	punct