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:
Argentina dispuso del primer penalti-córner del partido pero, aunque ni siquiera llegó a disparar a puerta, demostró mayor autoridad en el campo con mayor control en la circulación de la bola.
Postion	Tokenization
1	Argentina
2	dispuso
3	del
4	primer
5	penalti-córner
6	del
7	partido
8	pero
9	,
10	aunque
11	ni
12	siquiera
13	llegó
14	a
15	disparar
16	a
17	puerta
18	,
19	demostró
20	mayor
21	autoridad
22	en
23	el
24	campo
25	con
26	mayor
27	control
28	en
29	la
30	circulación
31	de
32	la
33	bola
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Argentina	PROPN	2	nsubj
2	dispuso	VERB	0	root
3	del	ADP	5	case
4	primer	ADJ	5	amod
5	penalti-córner	NOUN	2	obj
6	del	ADP	7	case
7	partido	NOUN	5	nmod
8	pero	CCONJ	19	cc
9	,	PUNCT	13	punct
10	aunque	SCONJ	13	mark
11	ni	CCONJ	13	advmod
12	siquiera	NOUN	11	fixed
13	llegó	VERB	19	advcl
14	a	ADP	15	mark
15	disparar	VERB	13	xcomp
16	a	ADP	17	case
17	puerta	NOUN	13	obl
18	,	PUNCT	13	punct
19	demostró	VERB	2	conj
20	mayor	ADJ	21	amod
21	autoridad	NOUN	19	obj
22	en	ADP	24	case
23	el	DET	24	det
24	campo	NOUN	19	obl
25	con	ADP	27	case
26	mayor	ADJ	27	amod
27	control	NOUN	19	obl
28	en	ADP	30	case
29	la	DET	30	det
30	circulación	NOUN	27	nmod
31	de	ADP	33	case
32	la	DET	33	det
33	bola	NOUN	30	nmod
34	.	PUNCT	2	punct