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:
"Se matriculan en menos materias si ven que no pueden con ellas y van a suspender", comentó el jefe de estudios de la CRUE, Miguel Ángel Quintanilla.
Postion	Tokenization
1	"
2	Se
3	matriculan
4	en
5	menos
6	materias
7	si
8	ven
9	que
10	no
11	pueden
12	con
13	ellas
14	y
15	van
16	a
17	suspender
18	"
19	,
20	comentó
21	el
22	jefe
23	de
24	estudios
25	de
26	la
27	CRUE
28	,
29	Miguel
30	Ángel
31	Quintanilla
32	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Se	PRON	3	obj
3	matriculan	VERB	20	ccomp
4	en	ADP	6	case
5	menos	ADV	6	advmod
6	materias	NOUN	3	obj
7	si	SCONJ	8	mark
8	ven	VERB	3	advcl
9	que	SCONJ	11	mark
10	no	ADV	11	advmod
11	pueden	VERB	8	ccomp
12	con	ADP	13	case
13	ellas	PRON	11	obj
14	y	CCONJ	17	cc
15	van	AUX	17	aux
16	a	ADP	17	mark
17	suspender	VERB	11	conj
18	"	PUNCT	3	punct
19	,	PUNCT	3	punct
20	comentó	VERB	0	root
21	el	DET	22	det
22	jefe	NOUN	20	nsubj
23	de	ADP	24	case
24	estudios	NOUN	22	nmod
25	de	ADP	27	case
26	la	DET	27	det
27	CRUE	PROPN	24	nmod
28	,	PUNCT	29	punct
29	Miguel	PROPN	22	appos
30	Ángel	PROPN	29	flat
31	Quintanilla	PROPN	29	flat
32	.	PUNCT	20	punct