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:
Como sucede con Clinton, todo el Estado, blancos y negros, se ha unido con fervor en torno al gran equipo de su universidad estatal.
Postion	Tokenization
1	Como
2	sucede
3	con
4	Clinton
5	,
6	todo
7	el
8	Estado
9	,
10	blancos
11	y
12	negros
13	,
14	se
15	ha
16	unido
17	con
18	fervor
19	en
20	torno
21	al
22	gran
23	equipo
24	de
25	su
26	universidad
27	estatal
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Como	SCONJ	2	mark
2	sucede	VERB	16	advcl
3	con	ADP	4	case
4	Clinton	PROPN	2	obl
5	,	PUNCT	2	punct
6	todo	DET	7	det
7	el	DET	8	det
8	Estado	PROPN	16	nsubj
9	,	PUNCT	10	punct
10	blancos	NOUN	8	appos
11	y	CCONJ	12	cc
12	negros	NOUN	10	conj
13	,	PUNCT	10	punct
14	se	PRON	16	obj
15	ha	AUX	16	aux
16	unido	VERB	0	root
17	con	ADP	16	advmod
18	fervor	NOUN	17	fixed
19	en	ADP	23	case
20	torno	NOUN	19	fixed
21	al	ADP	19	fixed
22	gran	ADJ	23	amod
23	equipo	NOUN	16	obl
24	de	ADP	26	case
25	su	DET	26	det
26	universidad	NOUN	23	nmod
27	estatal	ADJ	26	amod
28	.	PUNCT	16	punct