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:
La segunda mitad comenzó con equilibrio de fuerzas, aunque la grada reclamó un posible penalti de Pellegrino sobre Rubén Navarro, quien recibió un golpe por parte del jugador argentino.
Postion	Tokenization
1	La
2	segunda
3	mitad
4	comenzó
5	con
6	equilibrio
7	de
8	fuerzas
9	,
10	aunque
11	la
12	grada
13	reclamó
14	un
15	posible
16	penalti
17	de
18	Pellegrino
19	sobre
20	Rubén
21	Navarro
22	,
23	quien
24	recibió
25	un
26	golpe
27	por
28	parte
29	del
30	jugador
31	argentino
32	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	segunda	ADJ	3	amod
3	mitad	NOUN	4	nsubj
4	comenzó	VERB	0	root
5	con	ADP	6	case
6	equilibrio	NOUN	4	obl
7	de	ADP	8	case
8	fuerzas	NOUN	6	nmod
9	,	PUNCT	13	punct
10	aunque	SCONJ	13	mark
11	la	DET	12	det
12	grada	NOUN	13	nsubj
13	reclamó	VERB	4	advcl
14	un	DET	16	det
15	posible	ADJ	16	amod
16	penalti	NOUN	13	obj
17	de	ADP	18	case
18	Pellegrino	PROPN	16	nmod
19	sobre	ADP	20	case
20	Rubén	PROPN	16	nmod
21	Navarro	PROPN	20	flat
22	,	PUNCT	24	punct
23	quien	PRON	24	nsubj
24	recibió	VERB	20	acl
25	un	DET	26	det
26	golpe	NOUN	24	obj
27	por	ADP	30	case
28	parte	NOUN	27	fixed
29	del	ADP	27	fixed
30	jugador	NOUN	24	obl
31	argentino	ADJ	30	amod
32	.	PUNCT	4	punct