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:
Van Gaal habló de la dureza del Arsenal, también de su fuerza física y mental, pero no mencionó el peso que tuvieron en el desenlace del partido las decisiones de su oponente, el francés Arsène Wenger.
Postion	Tokenization
1	Van
2	Gaal
3	habló
4	de
5	la
6	dureza
7	del
8	Arsenal
9	,
10	también
11	de
12	su
13	fuerza
14	física
15	y
16	mental
17	,
18	pero
19	no
20	mencionó
21	el
22	peso
23	que
24	tuvieron
25	en
26	el
27	desenlace
28	del
29	partido
30	las
31	decisiones
32	de
33	su
34	oponente
35	,
36	el
37	francés
38	Arsène
39	Wenger
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Van	PROPN	3	nsubj
2	Gaal	PROPN	1	flat
3	habló	VERB	0	root
4	de	ADP	6	case
5	la	DET	6	det
6	dureza	NOUN	3	obj
7	del	ADP	8	case
8	Arsenal	PROPN	6	nmod
9	,	PUNCT	10	punct
10	también	ADV	3	advmod
11	de	ADP	10	case
12	su	DET	13	det
13	fuerza	NOUN	10	nmod
14	física	ADJ	13	amod
15	y	CCONJ	16	cc
16	mental	ADJ	14	conj
17	,	PUNCT	10	punct
18	pero	CCONJ	20	cc
19	no	ADV	20	advmod
20	mencionó	VERB	3	conj
21	el	DET	22	det
22	peso	NOUN	20	obj
23	que	PRON	24	obj
24	tuvieron	VERB	22	acl
25	en	ADP	27	case
26	el	DET	27	det
27	desenlace	NOUN	24	obl
28	del	ADP	29	case
29	partido	NOUN	27	nmod
30	las	DET	31	det
31	decisiones	NOUN	24	nsubj
32	de	ADP	34	case
33	su	DET	34	det
34	oponente	NOUN	31	nmod
35	,	PUNCT	37	punct
36	el	DET	37	det
37	francés	NOUN	34	appos
38	Arsène	PROPN	37	appos
39	Wenger	PROPN	38	flat
40	.	PUNCT	3	punct