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:
Yes, we had to wait, but ER is a triage system that takes the most life threatening cases first.
Postion	Tokenization
1	Yes
2	,
3	we
4	had
5	to
6	wait
7	,
8	but
9	ER
10	is
11	a
12	triage
13	system
14	that
15	takes
16	the
17	most
18	life
19	threatening
20	cases
21	first
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Yes	INTJ	4	discourse
2	,	PUNCT	4	punct
3	we	PRON	4	nsubj
4	had	VERB	0	root
5	to	PART	6	mark
6	wait	VERB	4	xcomp
7	,	PUNCT	13	punct
8	but	CCONJ	13	cc
9	ER	NOUN	13	nsubj
10	is	AUX	13	cop
11	a	DET	13	det
12	triage	NOUN	13	compound
13	system	NOUN	4	conj
14	that	PRON	15	nsubj
15	takes	VERB	13	acl:relcl
16	the	DET	20	det
17	most	ADV	19	advmod
18	life	NOUN	19	compound
19	threatening	VERB	20	amod
20	cases	NOUN	15	obj
21	first	ADV	15	advmod
22	.	PUNCT	4	punct