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 XV de la Rosa logró seis ensayos en la segunda parte después de haberse marchado al descanso ya con un claro 23-7 a su favor.
Postion	Tokenization
1	El
2	XV
3	de
4	la
5	Rosa
6	logró
7	seis
8	ensayos
9	en
10	la
11	segunda
12	parte
13	después
14	de
15	haberse
16	haber
17	se
18	marchado
19	al
20	descanso
21	ya
22	con
23	un
24	claro
25	23-7
26	a
27	su
28	favor
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	XV	PROPN	6	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	Rosa	PROPN	1	flat
6	logró	VERB	0	root
7	seis	NUM	8	nummod
8	ensayos	NOUN	6	obj
9	en	ADP	12	case
10	la	DET	12	det
11	segunda	ADJ	12	amod
12	parte	NOUN	6	obl
13	después	ADV	6	advmod
14	de	ADP	17	mark
15	haberse	_	None	_
16	haber	AUX	17	aux
17	se	PRON	17	expl:pv
18	marchado	VERB	13	advcl
19	al	ADP	19	case
20	descanso	NOUN	17	obl
21	ya	ADV	17	advmod
22	con	ADP	24	case
23	un	DET	24	det
24	claro	ADJ	24	amod
25	23-7	NUM	17	obl
26	a	ADP	27	case
27	su	DET	27	det
28	favor	NOUN	24	nmod
29	.	PUNCT	6	punct