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:
Pasaban al pelotón como si nada y, en una llegada, los ciclistas tuvieron que sortear a coches que estaban en marcha, mientras disputaban el esprint.
Postion	Tokenization
1	Pasaban
2	al
3	pelotón
4	como
5	si
6	nada
7	y
8	,
9	en
10	una
11	llegada
12	,
13	los
14	ciclistas
15	tuvieron
16	que
17	sortear
18	a
19	coches
20	que
21	estaban
22	en
23	marcha
24	,
25	mientras
26	disputaban
27	el
28	esprint
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Pasaban	VERB	0	root
2	al	ADP	3	case
3	pelotón	NOUN	1	obj
4	como	SCONJ	6	mark
5	si	SCONJ	6	mark
6	nada	PRON	1	obl
7	y	CCONJ	15	cc
8	,	PUNCT	11	punct
9	en	ADP	11	case
10	una	DET	11	det
11	llegada	NOUN	17	obl
12	,	PUNCT	11	punct
13	los	DET	14	det
14	ciclistas	NOUN	17	nsubj
15	tuvieron	VERB	1	conj
16	que	SCONJ	17	cc
17	sortear	VERB	15	conj
18	a	ADP	19	case
19	coches	NOUN	17	obj
20	que	PRON	23	nsubj
21	estaban	AUX	23	cop
22	en	ADP	23	case
23	marcha	NOUN	19	acl
24	,	PUNCT	26	punct
25	mientras	SCONJ	26	mark
26	disputaban	VERB	23	advcl
27	el	DET	28	det
28	esprint	NOUN	26	obj
29	.	PUNCT	1	punct